Software Engineer - Managed Kubernetes

Lambda•San Francisco, CA

3d•$225,000 - $300,000•Hybrid

About The Position

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 office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Some telecommuting permitted (hybrid).

Requirements

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.

Responsibilities

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.