United States onlyIn 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
*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.
About the Role
We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. This is a hybrid role that blends deep software engineering capabilities with Site Reliability Engineering (SRE) principles. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.
What You’ll Do
Software Engineering
Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes.
Develop automation for cluster lifecycle management (provisioning, upgrades, patching, deletion).
Develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers and ML/AI teams to deploy and monitor inference services effectively.
Write resilient systems that gracefully handle failure across large-scale distributed environments.
SRE & Operations
Define and implement Service-Level Objectives (SLOs) and Service-Level Indicators (SLIs) for Kubernetes services, workloads, and the platform.
Dive into systems at a low level to solve unique cluster problems and write up your findings
Assist customers with high-level Kubernetes questions and integration with applications, storage, and authentication
Assist with initial cluster build-outs and validation to help identify failed hardware before customer delivery
Work closely with our HPC Ops and Datacenter Ops teams on issues that require lower-level expertise or cross-functional solutions
Participate in a well-managed, sustainable on-call rotation
You
Have 6+ years of experience in software engineering or SRE roles, 3+ years leading large-scale complex projects, or tech lead.
Experience tuning Kubernetes internals and writing operators (CRDs, CSI, CNI, etc.).
Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators.
Experience operating Kubernetes clusters in production environments (e.g., EKS, GKE, on-prem).
Deep understanding of SRE principles: incident response, chaos engineering, scaling, and reliability.
Proficiency in observability tools (Prometheus, Grafana, FluentBit, etc.).
Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines.
Solid knowledge of Linux systems, networking, containers, and cloud infrastructure.
Nice to Have
Deep Kubernetes expertise
Experience with user-level restrictions and hardening (e.g. AppArmor)
Experience with HPC clusters, environments & tooling
Experience with large-scale AI/ML training clusters
Experience with machine learning/AI frameworks
Expertise with hybrid or multi-cloud Kubernetes environments.
Familiarity with GPU, Infiniband, or high-performance computing on K8s.
Past contributions to CNCF projects or Kubernetes SIGs a plus.
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.
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $255,000 - $405,0000. 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, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home 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.
Equal Opportunity Employer
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.
