Senior Software Engineer - Managed Kubernetes

Lambda; Deutschland; Vor Ort; EUR 156.000 - 225.000; Vollzeit

Zusammenfassung

Lambda, The Superintelligence Cloud, is seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will help shape architecture and automation for Kubernetes-based infrastructure powering AI workloads worldwide.

This role focuses on building reliable, scalable platforms across bare metal deployments, contributing to training and inference pipelines, and collaborating with global teams.

Qualifikationen

• Senior software engineer with strong Kubernetes experience.
• Experience building scalable cloud infrastructure.
• Ability to design reliable, automated platforms.

Aufgaben

• Shape architecture and reliability of Mk8s platform.
• Drive automation and deployment pipelines for AI workloads.
• Collaborate with global teams to support scalable workloads.

Kenntnisse

Kubernetes

Cloud infrastructure

Distributed systems

Automation

DevOps practices

Jobbeschreibung

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, San Jose, or Bellevue 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. 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.

Lambda is building the AI Cloud of the future. We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. In this role, you will help build the infrastructure that powers the next generation of AI training and inference at scale...