Engineering Manager, Kubernetes Platform (LKS)
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St) · Bellevue Office
Infrastructureremotemanager$297k–$440k
At a glance
Highlights
- Lead the team building Lambda's API-first platform for AI training and inference.
- Own roadmap from baseline experience to vetted, extensible AI capabilities.
- Partner across infrastructure and product to deliver secure, reliable platform.
What they offer
- Generous cash and equity compensation
- Health, dental, and vision coverage for you and dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match (USA employees)
- Flexible paid time off plan
Ideal candidate
An engineering leader who thrives owning platform strategy and growing strong teams. You bring high ownership, clear communication, and care for reliable, extensible experiences for AI builders.
Requirements
- 9+ years of software engineering experience, including 3+ years leading engineering teams
- Built or operated Kubernetes platforms, managed Kubernetes services, or container infrastructure
- Strong technical judgment across Kubernetes, platform APIs, operators, and cluster lifecycle
- Able to guide tradeoffs across extensibility, compatibility, security, reliability, and customer experience
- Experience building strong teams and working across engineering, product, and infrastructure organizations
- Clear communicator who turns ambiguous needs into pragmatic plans and results
- BS, MS, or PhD in Computer Science or related field, or equivalent practical experience
- remote policy
- 4 days in office per week, work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada
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