Remote tech jobs in United States

Summary The Senior Developer Success Engineer - West will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. What You'll Do Be a keen learner: At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way! Be a great communicator: As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. What You'll Bring Reside within the Pacific time zone (United States) 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. Minimum of one year experience in an internal or external customer-facing role. Passion for helping others regardless of who they are or how they act. Experience working with or as part of remote teams. Strong written and verbal communication skills. Seek to understand first, lead with data, and rely on facts. Nice to Have Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. Experience with security certificate management and implementation. Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Compensation The estimated pay range for this role is $140,000 - $180,000 based on experience and location. Additionally, this role is eligible to participate in Temporal's equity plan. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role We are looking for a Senior Data Engineer to join our Data Automation team. You will play a critical role in designing and building scalable data platforms and pipelines that power Socure’s identity verification products and analytics. This role is ideal for someone who has a strong passion for solving real business problems with data, and combines deep hands-on data engineering expertise with strong ownership. What You'll Do • Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains. • Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation. • Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies. • Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency. • Optimize cost, performance, and reliability of data workloads. • Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions. • Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient. What You Bring • 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines. • Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics. • Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization. • Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc). • Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets. • Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time. • Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review. • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Preferred Qualifications • Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc). • Hands-on experience with data orchestration tools (Airflow, Step Functions, etc). • Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams. • Experience with prompt engineering using modern GenAI, Large Language Models (LLM). • Experience mentoring other engineers and contributing to engineering-wide standards, best practices. As a note; Socure cannot provide sponsorship now or in the future for this role. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. About the Role Socure is seeking a highly skilled and experienced Staff Backend Engineer to join our dynamic engineering team within the Technology Center of Excellence. In this critical role, you will be a technical leader, driving the design, development, and deployment of innovative software solutions that help eliminate identity fraud. You will work closely with cross-functional teams, mentor junior engineers, and ensure the delivery of high-quality, scalable, and secure products. At Socure, we value teamwork, outcome-driven development, and a commitment to best-in-class technology experiences. What you will do: In this role, you will provide technical leadership by designing and implementing complex core components and distributed systems, while architecting solutions for scalability, security, modularity, and long-term maintainability. You will conduct code and architecture reviews to ensure alignment with Socure’s standards and industry best practices. As a Staff Backend Engineer you will drive the planning, execution, and delivery of large, complex initiatives, coordinating work across a small team of engineers and effectively managing scope, timelines, and resources. You will also play a key role in team collaboration and mentorship by providing technical guidance, supporting system design efforts, and fostering a culture of engineering excellence and continuous improvement. Additionally, you will contribute to innovation and impact by proactively proposing new projects, identifying opportunities to enhance platform performance, reliability, and developer productivity, and helping evolve Socure’s engineering practices and standards. What you bring: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience 8–12 years of professional software engineering experience Proven experience leading complex, large-scale engineering projects Expert-level programming skills and mastery of software engineering principles Strong experience designing and building scalable, distributed systems Ability to develop complex systems while guiding architectural decisions for a team Deep understanding of system design, performance optimization, and reliability Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! YouTube | LinkedIn | X (Twitter) | Facebook

Who We Are Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more. Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment. What You'll Do You'll be tasked with a wide range of projects. Each engineer has a realm they focus on, but we're still small enough that we don't have the luxury of deep specialization. We're looking for technical generalists that aren’t afraid to dive into a new stack or toolchain if the need arises (but JavaScript and Node.js make up the brunt of the existing codebase). Most of the things we work on are parts of the core product (which is an end-to-end pipeline for building computer vision projects spanning from image ingestion to annotation to training and deployment) but from time to time we're also working on things like integrating marketing and sales tools, fighting fires, automating internal processes, and open source projects. You'll have a wide degree of freedom to advocate for which projects you think should be highest priority and will contribute to our strategy decisions. If you need a rigid list of tasks spelled out in a multi-month roadmap, this role probably won't be a good fit. The majority of our codebase is written in JavaScript, our machine learning and image processing pipeline is in Python. We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We're increasingly using Docker (both internally and for customer facing products like our edge inference server). A lot of our code runs in the browser (including some Tensorflow JS) but we're also working on building APIs and client libraries in several languages. You certainly don't need to be experienced in all of these areas; but should be excited to learn new skill sets as you need them. We also hope you'll bring some new knowledge and experiences you can share to help level-up the rest of the team. We’re especially keen to add some rigor to our processes and build the foundation for rapidly scaling the engineering organization (for example: we currently have limited tests and are not using an opinionated front-end framework -- things that will need to change over the coming months in order to be able to seamlessly expand the team). Example Projects Creating a filtering interface so our users can mix and match their images based on metadata like the time of day they were captured, the GPS location, or custom tags they've applied. Expanding our annotation tool to support new functionality (like polygonal annotations image segmentation). Integrating the core app with external APIs for things like outsourcing annotation tasks and analyzing deployed model performance. Streamlining our onboarding flow. Deeper integrations with our other products like Roboflow Universe and our REST API. Next-generation model assisted labeling. Optimizing speed and scalability. Who You'll Be Working With Our team of ~120 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others. You will directly be working with our Engineering Lead and a team of Full Stack Engineers. Where You'll Work Roboflow is fully distributed. We currently have Hubs in New York City and San Francisco (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best! When You'll Work Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed. What You'll Receive To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market. The target compensation for this role is $165,000 - $195,000 base. In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights: $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space $350/mo AI Tools stipend $150/mo team lunch stipend $500/one time home office stipend Cover up to 100% of your health insurance costs for you and your partner or family Equity in the company so we are all invested in the future of computer vision Interview Process (6+ hours) Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team and don't currently have in-house recruiters. You will be speaking directly with our team about what it's like to work and thrive at Roboflow. We like to be decisive and work fast, so don't be surprised if all the below conversations happen over a day or two. Introduction Phase: [30m] Meet with hiring manager for introduction to assess overall mindset and skillset. [60m] Technical assessment with a Roboflow engineer. Build with Roboflow Phase: You will build a small project with Roboflow to showcase your technical and product skills. Team Interview Phase: [45m] Meet with your hiring manager and our CTO to demo your project Final Interview Stage: [45m] Meet with Head of Operations for a culture discussion. [60m / Optional] Meet with CEO. Not sure if this is you? We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into our Former Founders role or subscribe to our career newsletter by emailing "Subscribe" to operations@roboflow.com. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Equal Employment Opportunity At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Overview GoodLeap’s security team safeguards the organization’s information assets while enabling the business — spanning product safety and resilience, security paved roads, customer and regulatory trust, and technology governance. As a Senior Product Security Engineer, you’ll partner with product and engineering teams to make what we ship safe by default, splitting your time between building production security services and reviewing what other teams build: designs before code exists, pull requests before merge, and running systems before someone else finds the problem. You’ll be the primary security partner for one or more business units — GRC, security operations, and monitoring carry their own parts of the mandate, but you own the product security outcome. GoodLeap builds in TypeScript, Node.js, .NET, and Python, and you’ll work across all of it — we care that you can move between stacks, not that you’ve spent your career in one. We’re also shipping LLM-backed and agentic features into a regulated consumer-finance product; adversarially testing those systems (prompt injection, jailbreaks, tool abuse, exfiltration) and helping define what’s “safe enough to launch” is core to this role. You don’t need years of AI security experience — you need to show you can take an unfamiliar system, reason about how it fails, and produce findings a product team will act on. Essential Job Duties and Responsibilities Adversarially test our AI and LLM-backed features. Design and run attacks against LLM-backed applications and agents — prompt injection, jailbreaks, tool abuse, data exfiltration — and turn findings into pass/fail criteria product teams will act on. Build and operate production security services. Backend services and internal tooling — APIs, streaming transports, proxy/CLI/chat interfaces — in whichever of TypeScript, Node.js, .NET, or Python fits the problem, held to the same bar as any other production service: test coverage, CI, dependency management. Find new ways to automate the work. Notice when something we do by hand has become automatable, prototype it, and make the case— even when it means replacing a tool we bought last year. Review pull request vulnerability findings. Triage what scanning and AI-assisted review surface across our stacks, separating real findings from noise. Go deep by hand on auth paths and high-risk changes, and feed what you learn back into the tooling. Threat model from product designs. Review PRDs and technical designs before code exists, infer trust boundaries and data flows in unfamiliar domains, and raise security questions while the design is still cheap to change. Test by hand and validate what you find. Manual testing of web applications and APIs, triage for real exploitability, and retest fixes. Support the red team’s bug bounty and continuous penetration testing programs. Keep the AppSec tooling estate running and low-friction. SAST/dependency scanning tuning, finding triage and routing, SSO and access management, and automating the repetitive parts so the program scales without headcount. Secure the infrastructure your tooling runs on. IAM least-privilege scoping, secrets management, and container/network lifecycle — as infrastructure as code, with automated drift checks. Enable engineers to do the right thing. Build security training and documentation engineers will actually use. Evaluate tools and help set the AI bar. Run structured bake-offs of security products against defined requirements and help set the standards AI/agent systems must satisfy before reaching production. Back up the rest of the security team. Support investigations, threat hunting, and incident response for the products you cover, and contribute to the vulnerability management lifecycle and security analytics platform. Required Skills, Knowledge, and Abilities You ship production code. Strong backend engineering in at least one modern language, with at least one service you built that others depend on — async patterns, HTTP APIs, and streaming transports are familiar ground. We work across TypeScript, Node.js, .NET, and Python; depth in one plus the willingness to move between them matters more than any particular stack on your résumé. You can read code you didn’t write, across more than one language and stack, well enough to judge whether a reported finding is real, catch the ones tooling missed, and propose a fix the engineer can act on. You know how identity and authorization actually fail: token exchange and scope handling, session lifetime and revocation, request signing, OAuth pitfalls, and network-layer issues like SSRF and DNS rebinding. We’re looking for reasoning that finds real bugs, not checklist recall. You understand API standards and how to secure them: REST and GraphQL in practice, OpenAPI and schema contracts, input validation, rate limiting, gateway-level auth, and webhook and service-to-service verification. Hands-on testing of web applications and APIs — manual, not just scanner-driven — plus the triage, the clear write-up, and the retest. Threat modeling from written designs. You can read a PRD in an unfamiliar domain, infer trust boundaries and data flows, and ask the right questions while the answer is still cheap. Working AWS and infrastructure-as-code competence: IAM scoping, secrets management, container/compute lifecycle, network egress control, and infrastructure defined as code. Practical exposure to AI/LLM security. You have attacked an LLM-backed application or agent — at work, in a CTF, in published research, or in your own lab — and can tell us what you found and why it worked. You write and speak for people who are not in security. Findings engineers act on, documentation they use, and explanations that hold up in front of a product manager, an executive, or Legal. Preferred: Having owned an AppSec tooling estate: SAST/SCA tuning, finding routing, false-positive reduction Running structured vendor evaluations or proofs of concept Contributing to security policy or standards, including for AI systems Delivering security training or building hands-on learning environments Depth in cryptography and key management Detection engineering, incident response, or threat hunting exposure An understanding of how SaaS products get built — roadmaps, prioritization, why the ship date exists. Prior product or engineering management experience is a plus, not an expectation. Compensation In addition to the above salary, this role may be eligible for a bonus. Additional Information Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Machine Learning Infrastructure Team At Thumbtack, our challenges span a wide range of areas, including search, recommendations, matchmaking, pricing, safety, content generation, fraud detection, and more. The ML Infrastructure team is responsible for centralizing, standardizing and evolving AI/ML infrastructure that enables these experiences. We empower product engineering teams by providing scalable, high-performance systems that drive AI innovation at scale. To read more about some of the engineering challenges at Thumbtack, visit our engineering blog. Challenge As a Software Engineer on the ML Infrastructure team, you will work closely with product and platform engineering teams to build and evolve core AI platform capabilities. You will help design and improve systems that allow teams to develop, run, and scale AI-powered applications in production. Your work will directly support AI-driven experiences used by millions of customers and pros across the Thumbtack ecosystem. What you'll do Build and evolve core AI platform capabilities that enable teams to develop, run, and scale AI-powered applications across Thumbtack. Contribute to the design, development, and deployment of scalable tools and infrastructure to support the efforts of our applied scientists, including traditional ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling. Work hands on across the stack, from backend services and execution infrastructure to integrations with AI models and tooling. Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools that help product teams harness advances in AI. Drive projects to completion with a strong focus on business impact and measurable outcomes. Solve complex technical problems and stay up to date with advances in this rapidly evolving space. In order to be successful, you must bring At least 2 years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and software design. Proficiency in at least one major programming language, and the ability to work across multiple languages. Our primary stack includes Go and Python. Experience working with relational or NoSQL databases such as Postgres or DynamoDB. Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Comfort operating in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it. You operate with a bias to action, quickly learning what is needed and taking decisive steps to move work forward in ambiguous, fast-paced environments. Expected salary ranges For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $145,400 - $188,100. For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $130,900 - $169,400. For candidates living in all other US locations, the expected salary range for this role is currently $123,300 - $159,500. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our Job Applicant Privacy Policy. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space. We're looking for a Senior DevOps Engineer to join our VA team and be part of an elite rapid-response engineering group that gets called in to solve the VA's most complex, high-priority technical challenges across Veteran-facing systems. What you'll be doing: Build and maintain CI/CD pipelines, deployment automation, and infrastructure across Azure and AWS environments Own observability and monitoring using tools like Datadog or Dynatrace to proactively identify and resolve issues Reduce MTTR through better incident management, runbooks, and automated remediation Provision and manage infrastructure as code using Terraform Write automation scripts in Python, Bash, or PowerShell to streamline operational workflows Collaborate with development teams across VA programs to resolve engineering issues and improve platform stability Mentor junior engineers and contribute to DevOps standards and best practices across the team What you’ll bring: 5+ years of experience in DevOps, SRE, or cloud infrastructure engineering Hands-on experience with Azure and AWS cloud environments Experience with monitoring and observability tools such as Datadog or Dynatrace Proficiency with Terraform and infrastructure-as-code practices Solid scripting skills in Python, Bash, or PowerShell Familiarity with the VA ecosystem including VA Platform, GitHub enterprise practices, or VA.gov standards is a plus Thrives in a remote, collaborative Agile environment and genuinely enjoys working across engineering teams Communicates clearly and openly, whether writing a runbook or coordinating with stakeholders during an incident Performs other related duties as assigned Requirements: Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance. Education: Bachelor’s degree Benefits: Fully remote Annual stipend Comprehensive Benefits Package Company Match 401(k) plan Flexible PTO, Paid Holidays Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hello@Oddball.io The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) At Oddball, we may use AI-assisted tools as part of our recruitment process to help review applications, verify applicant information, and identify potentially fraudulent submissions. These tools support our recruiting team in maintaining a fair and secure hiring process. AI-generated findings are reviewed by our recruiting team and are not used as the sole basis for hiring decisions. Compensation: At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $120,000 - $156,000

ABOUT HAPPY MONEY Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions. Through its proprietary lending platform, Hive, Happy Money delivers a fully digital experience that simplifies borrowing for consumers and helps credit unions, banks and asset managers diversify balance sheets and scale with confidence. Happy Money’s end-to-end loan origination and participation programs provide partners with turnkey access to high-performing assets, underpinned by disciplined credit expertise and robust risk management. Together with its lending partners, Happy Money has originated more than $7 billion in loans to help nearly 350,000 people take greater control of their financial futures. Learn more at happymoney.com. View our Employee Privacy Policy here. Happy Money is a 100% fully distributed company. Remote work doesn’t mean less work, we work full-time jobs and show up to them fully every day. To learn more about our values and the way we work, review our Happy Money Way Overview! ABOUT THE ROLE Happy Money’s Engineering team is seeking to hire a Senior Software Engineer to design, build, deploy, and own consumer applications, infrastructure, and data-delivering products and services in support of Happy Money’s lending business. You will work in an autonomous environment, and be able to take general direction and formulate specific tasks to accomplish the desired results for Happy Money Customers. You have a strong sense of product ownership and a customer mindset. You will work to contribute to complex functional specs and design docs when necessary. RESPONSIBILITIES Develop and build products that provide an exceptional customer experience for our members. Own design, test, development and delivery of new and existing features. Participate in all phases of the software development life cycle. Collaborate with product managers, designers, business owners, and other engineers to identify the best solutions. Demonstrated experience driving engineering efficiency through the adoption of AI-driven coding agents and agentic workflows, to autonomously build, test, and ship complex React applications at scale. Experience implementing automated frontend testing for critical components and user workflows. Capable of working in isolation to design solutions to complex problems. Design and develop maintainable, scalable, fault-tolerant, and efficient systems. Upholding code quality to ensure features are up to standards to deliver a quality product. Prioritize team needs in technical debt and tooling to relieve operational load and evolve the system to meet the changing needs of the environment. Bring positive energy into meetings and ensure all coworkers feel valued and included in every interaction. Mentor other frontend engineers across the Engineering team. Demonstrate a proactive mindset by defaulting to action, taking initiative to address challenges, and driving projects forward. ABOUT YOU 5+ years building production React applications, with deep expertise in React, hooks, and component architecture at scale. You have production experience developing in ReactJS, CSS, GraphQL, Javascript, NodeJS, and are a polyglot with working knowledge of Python, Java, and the ability to pick up new languages and technologies quickly. Delivering a product across the entire technology stack motivates you more than working in an individual silo of frontend or backend, but you have a stronger affinity and experience building frontend user interfaces and UI based SDKs for other developers. Believe strongly in testing everything you design and develop using automation. Ability to scope, scale, and prioritize tasks to help team project plan and deliver on their milestones, delivering results over clear and ambiguous business and technical projects. You have excellent written and verbal communication skills. You are results-oriented, and know how to unblock yourself and others to achieve goals and objectives. Familiarity with AWS technologies - EC2, S3, Lambda, API Gateway, etc. You have production experience developing scalable/highly available consumer applications. You have a BA/Master degree in Computer Science or related field of study or equivalent work experience. BENEFITS & PERKS Generous medical, dental, and vision insurance options Eligible for Annual Bonus 401k Plan with a matching contribution Generous PTO including sick leave, vacation, volunteer, and more 12 Weeks Paid Parental Leave Company-paid short & long term disability and life insurance Monthly tech stipend to help cover expenses for remote work Happy Money is a 100% fully distributed workforce Base Salary Range $140,000—$160,000 USD

Why us? Blockchain technology is enabling a rapidly-growing era of innovation for the digital world. It is crucial that blockchain code such as protocols and smart contracts are provably secure and correct. Once deployed, they are public and cannot be changed. Vulnerabilities and bugs in such programs regularly put millions of dollars at stake. This is where CertiK comes in. We are the leading blockchain security company. Our goal is to secure the cyber world by applying cutting edge techniques from academia to secure blockchain code. Come and join this ambitious mission as a research software engineer to work on automated analyses for provably secure and correct blockchain applications! What you will do You will design and develop tools that automatically ensure the correctness of smart contracts or identify security issues and bugs in smart contracts. We have software engineer positions available at all levels of seniority. Title and responsibilities will be commensurate with experience and background. As part of our multinational team of programming language experts, you will participate in the development of tools that rest upon techniques such as symbolic model checking, SAT/SMT solving, abstract interpretation, data flow analysis, and deductive verification. You will have the opportunity to work on all stages of tool development from idea generation to implementation and iterative improvements. Our team is highly supportive and collaborative with great opportunities to learn and grow. About you You have a background in programming language theory and automated reasoning and love to work on the forefront of applying results from theoretical computer science. You love to tackle computationally hard problems and have a proven track record of achieving results, where results are people using your tool to do their jobs. You are collaborative: you share ideas, love to brainstorm with peers, and give and receive feedback. You are comfortable with the unknown and understand that #startuplife means that you will be wearing multiple hats. Responsibilities Extend the scope and depth of our automated program verification tools and brainstorm, design, and implement new tools. Adapt and improve algorithms for symbolic software model checking. Examples include bounded model checking (BMC), counterexample-guided abstraction refinement (CEGAR), and property directed reachability (IC3/PDR). Build and extend translators from different input languages into intermediate representations, optimizing the generated models for automated analysis. Identify new classes of security properties of smart contracts and formalize properties for use in our automated verification tools. Closely collaborate with other software engineers in developing tools and set technical direction for solving problems in consultation with your team and management. Work on all aspects of delivering working software that meets customer needs, including analysis, design, automated testing, operations, CI/CD, measuring results, incorporating customer feedback, and support. Required Qualifications Master's Degree in Computer Science or a related field or 5 years of equivalent experience. Minimum of 4 years of software development experience (includes internships, software developed during research, and open-source development). Minimum of 2 years of experience with one or more of the following: model checking, formal verification, SAT/SMT solving (Z3, CVC4, Yices, MathSAT, SMTInterpol), abstract interpretation, or closely related disciplines. Demonstrated knowledge of fundamental computer science concepts such as data structures, algorithms, mathematical logic, and automata theory. Preferred Qualifications PhD in the broader field of automated reasoning. Publication record in conferences like POPL, CAV, TACAS, FMCAD, FM, etc. Experience in functional programming (OCaml or Haskell). Strong and creative problem-solving skills; always willing to learn and embrace new technologies and to collaborate. Prior experience in a professional software development environment. Compensation Additional Information About the Company Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. Compensation Target annual base salary for this role performed in the US is $115,000 - $230,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. #LI-Remote #blockchain #startups #hiring CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf All CertiK employees are expected to actively support diversity on their teams, and in the Company.

About Us Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses. We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work. About the Role As a Staff Platform Engineer at Fieldguide, you will design and build the foundational platform that powers Fieldguide, including core platform services and tooling that make it fast, safe, and consistent to deliver new capabilities to customers. This is the platform on which every product surface and AI agent at Fieldguide is built. You will operate as a technical leader across teams, defining standards and reducing complexity for product, AI, and infrastructure engineers. Your work will directly shape how Fieldguide can ship quickly for our largest enterprise customers while keeping our systems reliable and scalable. What You’ll Own Lead the design and evolution of Fieldguide's core platform services, including the foundational systems, APIs, and shared primitives that every product surface and agent depends on Build platform capabilities that compound the leverage of product and AI engineers, turning hard problems into reusable building blocks Define the architecture for how new product capabilities get delivered across our SaaS, enterprise single-tenant, and government-cloud environments Partner directly with product, design, and AI engineering leaders to understand customer needs and translate them into platform investments Drive cross-team initiatives that improve product velocity, system reliability, and consistency across the application Own the standards for service design, data modeling, and platform integration patterns used across Fieldguide Maintain and evolve the internal developer platform that supports the team, including deployment tooling, and agentic engineering capabilities Mentor senior and mid-level engineers across the org and raise the bar for platform engineering at Fieldguide Who You Are 10+ years of experience in software engineering, with significant time spent building product-facing platforms or foundational application services Strong product instincts and a track record of shipping platform capabilities that unlocked meaningful customer outcomes Deep experience designing APIs, services, and shared systems that other engineers build on top of Strong fluency with modern cloud platforms (AWS preferred), Kubernetes, and distributed systems Track record of operating as a technical leader across multiple teams without owning them directly Excellent judgment on what to build into the platform, what to leave to product teams, and what to buy Strong software engineering fundamentals and the ability to contribute to and review complex codebases Excellent written and verbal communication, with the ability to drive alignment across engineering, product, and design High agency and a bias toward owning problems end-to-end Bonus Points Experience building platforms that power AI-native products, including agent frameworks, model orchestration, or LLM-powered application surfaces Experience designing platforms that support both multi-tenant SaaS and single-tenant enterprise deployments Experience as a founding or early platform engineer at a vertical SaaS or enterprise AI company Benefits Competitive compensation with equity Comprehensive health and wellness benefits Flexible time off and work schedules Technology reimbursements 401(k) plan Twice-yearly in-person offsites across the U.S. Wellness benefits starting on your first day Our Values Fearless — Inspire and break down seemingly impossible walls Fast — Launch fast with excellence; iterate to perfection Lovable — Deliver happiness and 11-star experiences Owners — Execute and run the business with ownership Win-win — Create mutual value and earn trust for life Inclusive — Scale the best ideas with inclusive teams

About Us Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. Our Stack Our backend tech stack consists primarily of Python Flask web apps with our TaskTiger scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElastiCache and non-managed services running on EC2 instances. We have CI/CD pipelines that build Docker images, run automated tests and deploy to Kubernetes clusters. We also use these images in our local development environment allowing coding locally against all of our services. We have a well-documented public API that is consumed by our front-end JavaScript app as well as numerous integrations. Our infrastructure is heavily automated using Terraform, Ansible and other AWS tools. We love open sourcing our code and ideas on our GitHub and on The Making of Close, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark, TaskTiger, LimitLion and ciso8601. AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting. Our Teams When you apply, you’ll have an opportunity to highlight the team that appeals to you the most. We’ll do our best to honor this preference, but we'll also be evaluating skillset fit and the needs of the business. One thing to know up front: we do move people between teams as the work shifts. Most engineers here end up on more than one team over their time at Close - this team is where you’ll start, but over time you’ll likely have the opportunity to work on many different projects. The work splits roughly like this. Pick the team that excites you most: Agents. Build Close’s agentic platform and customer-facing AI experiences. Voice Agents, Custom Agents, and Ask Chloe are already in flight. You’d work on the shared intelligence and orchestration layer that powers AI-driven processes across the product. That includes the ecosystem around our APIs and MCP surface, which enables external agents like Claude and ChatGPT to operate Close. This team is pushing deeper into applied AI, retrieval, and agent infrastructure more than ever before. Communications. Own the voice, SMS, and email infrastructure powering Close — Twilio, WebRTC, WebSockets, AssemblyAI, ElevenLabs, and more. You’ll help build our voice, messaging, and conversational AI agents while scaling real-time AI across calls, email, and calendar sync infrastructure. CRM. Build the structured context layer that humans and agents both depend on. We're rebuilding the data model so it flexes with real businesses, making the CRM agent-ready (retrieval, traversal, action coverage through MCP and our public API), and shipping the next generation of AI-native CRM features (AI Enrich, Autofill, AI Search). Operating on billions of Mongo documents with Elasticsearch underneath. Growth. Run the experiments and own the billing infrastructure that turn trials into paid customers. Stripe metered billing, AI credit top-ups, the activation and conversion funnel, and the team's biggest bet right now: agentic onboarding (an agent that walks new customers through setup, configuration, and first comms). Hypothesis-driven, metric-first. You Are A seasoned engineer. Python is our backbone, but perhaps you’ve worked across Go, Rust, or TypeScript. You pick the right tool for the problem rather than retreating to what you know. You’ve seen a variety of problems, can collaborate and self-direct. Building AI. You've shipped LLM-backed features for real users and have a POV on where they're trustworthy, where they fall over, and how to get them production-ready when customers bet revenue on the output. We use Pydantic, Temporal, LangFuse, and other modern AI infrastructure tooling to power our agent platform. Working with AI in your day-to-day. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund the use of AI tools (Claude Code, Codex and other best-in-class developer tools) and treat learning and experimentation as part of the work. A builder first. You’d rather get the first iteration of a feature in front of fifty customers than spend three weeks fretting over a perfect PR. You ship. Opinionated about API design for modern software. You've shipped internet-facing APIs and you think about who's on the other end - apps, agents, humans poking around in docs - and what each of them needs. Battle-tested. You've debugged incidents where latency budgets didn't hold, owned a system everyone else relied on, or carried a pager for something with real customer impact. Benefits Compensation: Competitive pay plus an organization-wide goal-based bonus Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay Parental Leave: Paid leave for primary and secondary caregivers Sabbatical: A 1-month paid sabbatical every 5 years with the team Healthcare (US residents): Two medical plans with Close covering 99% of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability 401k (US residents): We match your contributions up to 6%, vested immediately Our Values Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others Learn More Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint. Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo! Our Hiring Process We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This role sits in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters. Customers come to us with pipelines nobody trusts, metrics nobody agrees on, and warehouses that stall every new business question. You'll build the data products that fix that — working with business leads, analysts, and data scientists to understand the domain, then shipping pipelines and models that hold up in production. Because Aedeon handles the repetitive layer source discovery, schema mapping, validation harnesses — you won't spend your early career grinding through spreadsheet audits. You'll spend it writing code that reaches production and learning judgment from engineers who own cutovers. Data quality isn't a checkbox here; it's the product. What you will do? Write efficient PySpark and Amazon Glue code that ships to production. Write SQL in Amazon Athena and Amazon Redshift. Pick up new technologies and techniques and put them to work on real business problems. Work across engineering and business teams to build data products and services people actually use. Deliver projects with the team and land customer updates on time. What are we looking for? 1 to 3 years of experience in Apache Spark, PySpark, and Amazon Glue. 2+ years of experience writing ETL jobs using PySpark and SparkSQL. 2+ years of experience with SQL queries and stored procedures. Deep understanding of the Dataframe API and the transformation functions supported by Spark 2.7+. You will be preferred if you have Prior experience in working on AWS EMR, Apache Airflow Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer Understanding of DataOps Engineering How we work? We run a forward-deployed model. Engineers embed with the customer's team, own outcomes from discovery through production, and carry the delivery commitment personally. Aedeon absorbs scale; engineers absorb judgment; the contract absorbs risk. As an associate, you'll work inside that model from day one shipping alongside senior engineers rather than watching from a bench. The culture is casual and steers clear of rigid corporate habits. We care about what ships, and we let you be yourself while you ship it. Compensation Additional Information Life at Mactores We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work. 1. Be one step ahead 2. Deliver the best 3. Be bold 4. Pay attention to the detail 5. Enjoy the challenge 6. Be curious and take action 7. Take leadership 8. Own it 9. Deliver value 10. Be collaborative We would like you to read more details about the work culture on https://mactores.com/careers The Path to Joining the Mactores Team At Mactores, our recruitment process is structured around three distinct stages: Pre-Employment Assessment: A series of evaluations of your technical proficiency and suitability for the role. Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication. HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team. Mactores provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. Note: Please answer as many questions as possible with this application to accelerate the hiring process.

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. Lead and/or drive threat modeling and design reviews for major infrastructure changes, ensuring strong security foundations and operational excellence. Mentor and level up engineers across InfraSec and partner teams, contributing to a strong security culture through guidance, reviews, and technical leadership. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities, including strong security judgment under ambiguity A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. Expertise and curiosity about using frontier models and agents to effectively solve security challenges. A track record of leading large, cross-org initiatives from concept to rollout, including navigating tradeoffs, driving alignment, and delivering measurable risk reduction. Deep expertise in the security of cloud platforms (e.g., Amazon AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud-agnostic systems. Experience securing on-prem deployments and datacenters from construction to multi-tenant use. Familiarity with container security, orchestration security, and authentication/authorization. Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks. Excellent communication skills, with the ability to convey complex security concepts to executive, technical, and non-technical stakeholders. Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches with infrastructure and research engineering teams, shaping interfaces, migration plans, and safe rollout strategies across large fleets and critical workflows. Build or evolve security primitives (identity, attestation, authorization, encryption key lifecycle, access mediation) that become platform building blocks for OpenAI. Leverage frontier models and agents to develop automation and detection tooling to continuously identify and mitigate risks in large-scale cloud and on-prem environments. Lead design reviews and threat models for major initiatives, and drive closure on systemic issues. Mentor engineers across InfraSec and partner teams, raising the bar on engineering quality, operational readiness, and secure-by-default practices. You will thrive in this role if you have: Strong software engineering skills with a track record of shipping and operating reliable distributed systems in production. Experience building or operating critical infrastructure, especially security infrastructure, at planet scale (e.g., auth services, service-to-service proxies, certificate or key-management systems). Deep understanding of security principles, best practices, and common vulnerabilities. Demonstrated ability to lead cross-team technical initiatives: setting direction, aligning stakeholders, driving execution, and delivering measurable outcomes. Expertise and curiosity about using frontier models and agents to effectively solve security challenges. Expertise in securing large-scale cloud platforms (e.g., Azure, AWS, GCP), including multi-cloud networks and cloud-agnostic system design. A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. Strong analytical and problem-solving skills, with an ability to think critically and objectively assess risks. Excellent communication skills, with the ability to convey complex security concepts to executive, technical, and non-technical stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. Job Summary We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business. You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org. Key Responsibilities CI/CD & Release Engineering Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms. Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates. Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes. Platform Reliability & Observability Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato). Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure. Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans. Cloud Infrastructure & Environment Management Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability. Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable. Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code. Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production. Secrets, Access & Security Posture Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts. Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum). Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments. Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams. Automation & Tooling Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience. Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds. Governance, Standards & Collaboration Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries. Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts. Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform. Qualifications Experience 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments) Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices Experience with incident management, on-call processes, and writing post-incident reviews Skills & Competencies Technical Strong scripting skills in Python, Bash, or Node.js for automation and tooling Proficiency with Git, branching strategies, and version control best practices Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation) Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar) Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases Operational & Mindset Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end. Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable. AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack. Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck. Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience. What You'll Work With Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs. NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards. MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows. Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework. GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices. AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations. GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms. Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning. Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities Design and implement robust search solutions that scale with our rapidly growing user base Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds Improve our real-time indexing pipelines to ensure search results remain up-to-date Create measurement frameworks to evaluate and improve search quality Build and enhance vector search capabilities to power next-generation search experiences Collaborate with AI, backend, and product teams to integrate search into new features Troubleshoot complex search-related issues at scale Design and implement robust search solutions that scale with our rapidly growing user base Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds Improve out real-time indexing pipelines to ensure search results remain up-to-date Create measurement frameworks to evaluate and improve search quality Build and enhance vector search capabilities to power next-generation search experiences Collaborate with AI, backend, and product teams to integrate search into new features Troubleshoot complex search-related issues at scale Technical Requirements: Bachelor's degree in Computer Science or related field 5+ years of experience as a search engineer or in a directly related role Hands-on production experience with OpenSearch or ElasticSearch (strongly preferred); Solr experience considered but less ideal given its age Experience with high-scale, real-time data ingestion and search serving in a backend services context. Proven ability to optimize query parsing, indexing, and relevance tuning for search systems Experience measuring and optimizing search quality Preferred Qualifications: Background in search ranking, relevance algorithms, and information retrieval Hands-on experience with vector embeddings and semantic search implementations Experience with TypeScript in backend systems Track record of architecting search solutions that maintain performance under heavy load Experience applying machine learning and NLP to enhance search relevance Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Backend Engineer About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the role We have multiple backend engineering roles open on various teams. The specific level, scope, and technical focus will be aligned to the opportunity and the candidate’s experience. Experience with cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems may be relevant for some teams. As a Backend Engineer at LaunchDarkly, you will design, build, and operate the services that power reliable software delivery for our customers. You may work on APIs, distributed systems, configuration and event pipelines, data services, SDK-related infrastructure, platform capabilities, or backend systems supporting our product experiences. You will work with experienced engineers, Product, Design, and partner teams to turn customer and business needs into simple, scalable solutions. You will have the opportunity to own work from early design through production, learn from real customer impact, and contribute to systems that operate at meaningful scale. What you’ll do Design, implement, test, and operate production services and APIs. Lead projects or meaningful components of projects from problem definition through deployment and iteration. Make thoughtful tradeoffs across scalability, performance, reliability, security, maintainability, and delivery speed. Improve the observability and operability of the systems you own, including metrics, logs, traces, alerting, and incident learnings. Collaborate with Product, Design, Support, Customer Success, and other engineering teams to understand needs and deliver useful outcomes. Participate in technical design discussions and code reviews, sharing constructive feedback and learning from teammates. Investigate production issues calmly and help turn operational lessons into lasting improvements. Contribute to a culture of inclusive collaboration, continuous improvement, and high-quality engineering. Qualifications 5+ years of experience building and operating production software in a professional environment, or equivalent demonstrable experience. Strong software engineering fundamentals, including data structures, algorithms, testing, debugging, and API design. Experience with a backend language such as Go, Python, Rust, or an equivalent language. (Most of our teams use Go) Experience designing or contributing to services that need to be reliable, observable, and maintainable as usage grows. Ability to explain technical decisions and tradeoffs clearly to both technical and non-technical partners. A collaborative approach and a sense of ownership for both your work and its downstream customer impact. Comfort learning unfamiliar systems and working through ambiguous problems. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Staff Full Stack Engineer to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements. Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements Mentor senior engineers and act as a technical multiplier across the org Contribute to and help shape technical direction for Mattermost’s open-source codebase What We Are Looking For Required: Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end Proven experience designing and owning distributed systems or high-availability service architecture at scale Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Demonstrated ability to influence technical direction across multiple teams without relying on formal authority Experience mentoring senior engineers and raising the technical bar for a broader team Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements) Nice to Have: Prior experience operating as a staff, principal, or technical lead engineer at another company Experience maintaining (not just contributing to) an open-source project Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR) Experience helping scale engineering practices or standards across a growing organization Background in defense, intelligence, or critical infrastructure products Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: $172,724 – $227,135 U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls. Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

What is PerfectServe? PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. PerfectServe now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue. PerfectServe’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians. Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach: In 2026, PerfectServe was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader. PerfectServe also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years. At PerfectServe, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at PerfectServe contributes to important work that moves the business forward. If you're looking for a well-established, tech-forward company full of smart people doing meaningful work, you've found the right place! The ideal candidate is early in their mobile development career but has already demonstrated sound programming fundamentals and hands-on experience with React Native. This individual will be comfortable working in a collaborative, cross-functional environment, building and maintaining features across both iOS and Android from a shared codebase, and willing to pivot between front-end, integration, and debugging work based on team priorities and business needs. Responsibilities Develop and maintain cross-platform mobile applications using React Native for both iOS and Android under the guidance of more senior mobile engineers. Translate UI/UX designs and wireframes into high-quality, responsive code. Integrate mobile applications with RESTful APIs and third-party SDKs. Debug and resolve bugs, performance issues, and platform-specific quirks between iOS and Android. Participate in code reviews and incorporate feedback from senior engineers. Write and maintain basic unit and integration tests to help ensure application stability. Communicate effectively in a remote environment, including maintaining an active on-camera presence during meetings when expected. Qualifications Some prior technical experience in mobile development, software development, or a related technical area OR a bachelor's degree in computer science, Software Engineering, or another programming/technology-related field from an accredited higher education institution. Working knowledge of React Native and JavaScript/TypeScript, including React fundamentals such as components, state, props, and hooks. Basic understanding of the software development lifecycle (SDLC) and/or Agile delivery practices. Familiarity with mobile UI/UX principles and an interest in building skills across both iOS and Android. Experience using Git for version control and consuming REST APIs. Strong communication skills and the ability to work effectively with cross-functional teams. Health IT experience (a plus) About PerfectServe PerfectServe offers unified healthcare communication solutions to help physicians, nurses, and care team members provide exceptional patient care. PerfectServe’s cloud-based solutions enhance patient safety and reduce provider burnout by automating workflows, speeding time to treatment, optimizing shift schedules, empowering nurse mobility, and engaging patients in their own care. Environment, Physical & Other Requirements This position requires interaction with people and technology while either standing or sitting. In order to best service our customers on the phone, face-to-face, or on the computer, all employees must be able to communicate with or without reasonable accommodation. Depending on the assignment, may require ordinary ambulatory skills sufficient to visit other locations; or the ability to stand, walk and manipulate (lift, carry, move) light to medium weights of 10 - 50 pounds. Requires good hand-eye coordination, arm, hand and finger dexterity, including ability to grasp, and visual acuity to use a keyboard, operate equipment and read technical information. PerfectServe is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. This position description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. PerfectServe, Inc. is an Equal Opportunity Employer -----M/F/D/V. Why Join PerfectServe? At PerfectServe, we are transforming healthcare communication and collaboration to help clinicians deliver better care. You’ll work with a dedicated and mission‑driven team in an environment that values growth, transparency, and innovation. We offer a salary range of $75,000–$100,000 USD per year, with compensation tailored to your background, strengths, and growth potential. This range reflects our commitment to pay transparency and is based on market data, internal equity, and the scope of responsibilities. Compensation is determined by several factors, including experience, skills, and team impact. We regularly review compensation to ensure fairness and consistency. Current employees with questions are encouraged to connect with their manager or People Operations. Benefits: Remote first work environment Health, Dental, Vision, Life and Disability Insurance options available day one. 401K - with match and immediately vested. 17 company holidays, 2 floating holidays plus competitive paid time off policy Internal Advancement Opportunities PerfectServe offers unified healthcare communication solutions to help physicians, nurses, and care team members provide exceptional patient care. PerfectServe’s cloud-based solutions enhance patient safety and reduce provider burnout by automating workflows, speeding time to treatment, optimizing shift schedules, empowering nurse mobility, and engaging patients in their own care.

What is PerfectServe? PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. PerfectServe now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue. PerfectServe’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians. Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach: In 2026, PerfectServe was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader. PerfectServe also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years. At PerfectServe, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at PerfectServe contributes to important work that moves the business forward. If you're looking for a well-established, tech-forward company full of smart people doing meaningful work, you've found the right place! *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-69d3af6b-3b08-8333-a766-927e9fdc4847-62" data-testid="conversation-turn-192" data-scroll-anchor="true" data-turn="assistant"> About the role We are building a new data platform, and it needs to run somewhere — safely, repeatably, and in a regulated environment. This is the infrastructure seat on a small data platform team. You will own the AWS footprint, the deployment path, and the access model that lets a data pipeline read from production systems safely. We hold a high bar here — declarative, version-controlled infrastructure and tightly scoped production access — and you will be designing within that model from day one. Why this role, specifically Plenty of platform roles are about keeping existing infrastructure running. This one is about building the path that lets a new platform touch production data at all — in an environment with protected health information, multiple tenants, and systems clinicians rely on overnight. That constraint is the interesting part. "Give the pipeline database access" is easy anywhere without rules. Doing it with least-privilege credentials, a fully auditable deployment path, and no manual escape hatches is an actual engineering problem, and it is the one you would own. You will also be doing it at the start, when the decisions are still open — rather than inheriting someone's access model and being asked to defend it. What you will do Own the AWS infrastructure for the data platform, defined as code Build and maintain the deployment path, using GitOps and continuous delivery Design least-privilege access to production data sources — credentials, network routes, and permissions that hold up to scrutiny Stand up observability for the platform so reliability is built in rather than added later Administer the Kubernetes workloads the platform runs on Partner with our security team, which matters here given protected health information and multiple tenants Automate the operational work rather than performing it by hand What you bring Depth in AWS is the core requirement for this role: Networking — VPC design, cross-region and cross-account data movement, private connectivity, VPN IAM — able to design least-privilege access, not only apply an existing policy Databases — RDS, Aurora, SQL Server, including read replicas Storage — S3, including access patterns and bucket policy Alongside that: Terraform or CDK to a production standard Kubernetes administration, and GitOps delivery with Argo CD or similar Ownership of CI/CD pipelines A preference for automation over manual intervention, including autoscaling and self-healing rather than hands-on fixes Nice to have Cloud data warehouse platform administration Database replication, particularly SQL Server Managed message infrastructure (RabbitMQ, Amazon MQ) Healthcare or another regulated, audited environment Why Join PerfectServe? At PerfectServe, we are transforming healthcare communication and collaboration to help clinicians deliver better care. You’ll work with a dedicated and mission-driven team in an environment that values growth, transparency, and innovation. We offer a salary range of $140,000-160,000 USD per year, with compensation tailored to your background, strengths, and potential to grow within the team.The salary range listed for this role reflects our commitment to pay transparency and is based on market data, internal equity, and the scope of responsibilities. compensation will be determined by a combination of factors, including the candidate’s experience, skills, and the specific team or product area they support. We regularly review compensation across the company to ensure fairness and consistency. If you are a current employee and have questions about how your compensation aligns with our ranges, we encourage you to speak with your manager or People Operations. Benefits: Remote first work environment Health, Dental, Vision, Life and Disability Insurance options available day one. 401K - with match and immediately vested. 17 company holidays, 2 floating holidays plus competitive paid time off policy Internal Advancement Opportunities PerfectServe offers unified healthcare communication solutions to help physicians, nurses, and care team members provide exceptional patient care. PerfectServe’s cloud-based solutions enhance patient safety and reduce provider burnout by automating workflows, speeding time to treatment, optimizing shift schedules, empowering nurse mobility, and engaging patients in their own care.