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Software Engineer - Managed Kubernetes

Job Overview

Location

San Francisco Office (Fremont St)

Job Type

Full-time

Category

Software Engineer

Date Posted

July 16, 2026

Full Job Description

đź“‹ Description

  • • 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.

🎯 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.

🏖️ Benefits

  • • 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.

Skills & Technologies

Python
Java
Docker
Kubernetes
Jenkins
Hybrid
Degree Required

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About Lambda Inc.

Lambda Inc. provides cloud-based GPU clusters and workstations for artificial-intelligence research and development. The company designs and operates high-performance hardware infrastructure optimized for machine-learning workloads, offering on-demand access to NVIDIA GPUs, pre-configured deep-learning software stacks, and scalable storage. Customers include AI labs, universities, and enterprises training large language and computer-vision models. Founded in 2012, Lambda is headquartered in San Francisco and maintains data centers across North America and Europe.

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