Engineering Manager, Kubernetes Platform (LKS)

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.

Lambda Kubernetes Service (LKS) is an API-first Kubernetes platform for AI training and inference on Lambda infrastructure. We're looking for an Engineering Manager to lead the team building its customer-facing platform capabilities: cluster runtime, system components, managed add-ons, and AI workload orchestration.

Responsibilities:

• Build and lead the engineering team; hire strong engineers, develop technical leaders, and set a high bar for ownership and quality.
• Define the technical strategy and roadmap for LKS platform capabilities and Kubernetes runtime.
• Deliver a reliable baseline cluster experience using upstream, CNCF-conformant Kubernetes.
• Own the integration and lifecycle of managed add-ons, including qualification, compatibility, releases, and customer choice.
• Build Kubernetes capabilities for AI workloads, starting with Slurm through Slinky and evaluating options such as Volcano and LLMD as needs grow.
• Partner with the Hosted Control Plane team on cluster lifecycle, upgrades, release readiness, and incident response.
• Work across Lambda infrastructure and product teams to deliver secure, supportable integrations.
• Communicate progress, risks, and customer impact clearly to leadership and partner teams.

Requirements:

• Have 9+ years of software engineering experience, including 3+ years leading engineering teams.
• Have built or operated Kubernetes platforms, managed Kubernetes services, or container infrastructure.
• Bring strong technical judgment across Kubernetes, platform APIs, operators, and cluster lifecycle.
• Can guide tradeoffs across extensibility, compatibility, security, reliability, and customer experience.
• Build strong teams and work effectively across engineering, product, and infrastructure organizations.
• Communicate clearly and turn ambiguous needs into pragmatic plans and results.
• Hold a BS, MS, or PhD in Computer Science or a related field, or have equivalent practical experience.

Nice to Have:

• Experience with GPU operators, AI infrastructure, or GPU-aware Kubernetes.
• Experience with Slurm, Slinky, Volcano, LLMD, Kueue, Ray, or similar orchestration systems.
• Experience with Kubernetes networking, storage, upgrades, or managed add-on catalogs.

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