Software Engineer - Managed Kubernetes
Indexed description
If you'd like to build the world's best AI 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.
- Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes.
- Develop automation for cluster lifecycle management (provisioning, upgrades, patching, and deletion).
- Develop internal tools, APIs, and command-line interfaces (CLIs) that enable customers and ML and AI teams to deploy and monitor inference services effectively.
- Write resilient systems that gracefully handle failure across large-scale distributed environments.
- Define and implement Service-Level Objectives (SLOs) and Service-Level Indicators (SLIs) for Kubernetes services, workloads, and the platform.
- Drive into systems at a low level to solve unique cluster problems and write up the findings.
- Assist customers with high-level Kubernetes questions and integrations with applications, storage, and authentication.
- Assist with initial cluster buildouts 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 a Bachelor’s degree or foreign equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field
- Have 5 years of progressive experience as Software Engineer or related occupation
- Must have at least 1 year of prior work experience in each of the following:
- Distributed systems software development as applied to computer networking infrastructure.
- Full-stack development in multiple software languages including Python, Go, Java, or C/C++.
- Software development using cloud-native technologies including Docker, Kubernetes, Helm, Etcd, and gRPC.
- Development and CI/CD workflow using tools including Gerrit, Git, and Jenkins.
- Working with and developing open-source projects.
- Tuning Kubernetes configuration and working with Operators, CRDs, CSI, and CNI.
- 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
Compensation Range: $225K - $300K
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