Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.
Requirements
- Experience using Kubernetes and third-party operators (CRDs, CSI, CNI, etc.).
- Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases
- Experience with infrastructure-as-code tools (e.g. Terraform, Pulumi).
- Solid knowledge of Linux systems, networking, containers, and cloud infrastructure.
- Deep Kubernetes and Linux expertise
- Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters
- Experience with user-level restrictions and hardening (e.g. AppArmor)
Responsibilities
- Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers, while developing automation in Python/Go for end-to-end cluster lifecycle management — including provisioning, upgrades, patching, and deletion.
- Identify gaps and develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers and ML/AI teams to deploy and effectively monitor inference services.
- Write resilient systems that gracefully handle failure across large-scale distributed environments.
- Develop automated tests to ensure quality and stability, and validate the clusters to identify and address hardware issues before delivery.
- Support and debug production issues through on-call rotation.
Other
- Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
- Have 6+ years of experience in software engineering, 3+ years leading large-scale complex projects, or tech lead.
- At least two years of experience working on orchestration and deployment systems
- Take pride in owning and delivering core components of products and platforms.
- If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role.
