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.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You'll Do- Accelerate software delivery by designing and building internal tools and services that reduce friction for engineering teams.
- Own and evolve our CI/CD infrastructure, not just maintain it, but rethink 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 tooling that gives engineers confidence and control over how their code ships
- Identify bottlenecks in developer workflows through close collaboration with engineering teams, then build lasting solutions, not workarounds
- Contribute to the architectural decisions that will shape how 200+ engineers build and ship software and images
- Help 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
Who You Are- 5+ years of experience in platform engineering, release engineering, developer tooling, or a closely related discipline
- You 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. Buildkite, 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
- Builds for the many, not for one team or one use case
- Distills the right problem out of the noise: asks the why behind the why
- Outcome driven and measures the impact of what you ship
- Comfortable with ambiguity and energized by defining the problem before solving it
Nice to Have- 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
Salary Range InformationThe 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.
About Lambda- 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
A Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
