Staff Software Engineer - Managed Kubernetes

Role description

Role Overview

Lambda is building the AI Cloud of the future and seeking a Staff Engineer to help develop its Managed Kubernetes platform. The role requires presence in the San Francisco office 4 days a week and involves shaping the infrastructure that powers AI workloads and inference at scale.

What You Will Do

As a Staff Engineer, you will drive technical vision for Lambda's Managed Kubernetes platform, integrate and extend NVIDIA's open-source ecosystem, design GPU-aware orchestration systems, and lead development of services that power managed services.

Why It Might Be a Fit

This role is for an engineer who has synthesized the core domains of infrastructure and can design holistic solutions across all of them. You will work closely with NVIDIA's open-source ecosystem and partner with internal teams across the stack to deliver a world-class managed platform.

Requirements

• 10+ years of experience in software engineering, platform engineering, or SRE, with at least 5 years focused on Kubernetes at scale
• Expert-level understanding of Kubernetes internals
• Holistic infrastructure expertise
• Strong software engineering skills in Go and Python
• Deep experience with GPU orchestration in Kubernetes
• Proven track record of technical leadership
• Deep experience designing and operating managed services or multi-tenant platforms
• Strong understanding of distributed systems principles
• Experience with observability at scale
• Solid knowledge of Linux systems and networking
• Experience with infrastructure-as-code and GitOps workflows

Benefits

• Generous cash & equity compensation
• Health, dental, and vision coverage
• Wellness and commuter stipends
• 401k Plan with 2% company match
• Flexible paid time off plan