사내 플랫폼 엔지니어링 팀에서 200명 이상의 엔지니어를 위한 CI/CD 인프라와 개발 도구를 설계하고 구축해요. 5년 이상의 관련 경력이 필수이며, Go 또는 Python을 활용한 프로덕션 수준의 코드 작성 능력이 필요해요. 주 4일 사무실 출근이 요구되며, 시스템 운영을 위한 온콜 로테이션에 참여해야 해요. 팀 내에서 엔지니어링 생산성을 높이는 도구를 직접 설계하고 배포하는 실무 중심의 역할을 수행해요.
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Developer Productivity team plays a key role in accelerating software delivery across Lambda by building and evolving the internal platforms, tooling, and workflows that engineers rely on every day. As part of the Platform Engineering team, this position focuses on improving the developer experience, streamlining the software delivery lifecycle, and creating scalable self-service solutions that enable more than 200 engineers to build, test, and ship software efficiently and reliably.
Working closely with engineering teams across the company, this role identifies friction points in development and release processes and designs durable solutions through developer platforms, CI/CD infrastructure, release engineering tooling, and opinionated paved paths. The position contributes directly to Lambda’s ability to scale engineering productivity, maintain high delivery velocity, and support the company’s continued growth by making the right engineering workflows easier, faster, and more reliable.
Accelerate software delivery by designing and building internal tools and services that reduce friction for engineering teams
Own and evolve our CI/CD infrastructure, rethinking how it should work as we scale
Build and maintain paved paths: reusable patterns and templates that make the right defaults obvious and easy to follow
Build release engineering tools that gives engineers confidence and control over how their code ships
Identify bottlenecks in developer workflows through close collaboration with engineering teams, and then build lasting solutions, not workarounds
Contribute to the architectural decisions that will shape how 200+ engineers build and ship software
Shape how the Platform Engineering team itself operates: our processes, priorities, and our push toward a self-service engineering org
Participate in an on-call rotation and keep the systems you own well-documented, reliable, and observable
5+ years of experience in platform engineering, release engineering, developer tooling, or a closely related discipline
Write production-quality software and treat internal tooling as a product: real users, real quality standards, and things that actually get adopted (Go and/or Python preferred)
Deep experience with CI/CD systems (e.g. GitHub Actions), not just configuring them, but extending and building on top of them
Strong foundation in infrastructure-as-code (Terraform) and cloud environments (AWS or GCP)
Experience designing and building agentic workflows that automate meaningful parts of the software delivery lifecycle
Build for the many, not for one team or one use case
Distill the right problem out of the noise: asks the why behind the why
Outcome driven and measure the impact of what you ship
Comfortable with ambiguity and energized by defining the problem before solving it
Experience driving AI tooling adoption across an engineering org
Led large-scale platform or tooling migrations
Experience managing AWS environments at scale: accounts, permissions, and resource organization
Familiarity with GPU infrastructure or high-performance computing environments
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
