Senior Software Enginering - Mk8S/Control Plane
Lambda· Data Center Business
Hybrid (San Francisco Office (Fremont St)), Hybrid (San Jose Office (First St)), Hybrid (Bellevue Office)$255k - $346kFull-timePosted 1w ago
About the role
Senior Software Engineer to join the Managed Kubernetes (Mk8s) team. Focus on architecture, reliability, and automation of Kubernetes-based infrastructure for AI workloads, including Kubernetes control plane, GPU-aware orchestration, and platform services for inference and AIOps.
Responsibilities
- Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers; develop automation in Go/Python for end-to-end cluster lifecycle management — provisioning, upgrades, patching, and deletion
- Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation
- Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect
- Write resilient systems that handle failure gracefully — timeouts, retries, backoff, and degraded-mode operation — across large-scale distributed environments
- Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns
- Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services
- Support and debug production issues through on-call rotation
Qualifications
- Have 6+ years of experience in software engineering, with a track record of owning significant technical scope within a team (e.g., driving a project from design through production, or acting as a de facto tech lead on a workstream)
- Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful
- Solid grasp of distributed systems fundamentals — fault tolerance, graceful degradation, and failure handling in large-scale environments
- Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters
- Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems
- Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases
- Solid knowledge of Linux systems, networking, containers, and cloud infrastructure
- Take pride in owning and delivering core components of products and platforms
Skills
Required:Kubernetes control plane and operatorsGoPythonDistributed systems
Nice to have:GPU/AI infrastructureNetworking
Benefits
- 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
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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