Tensormesh
Kubernetes Engineer
$100K–$200K
Foster City, CA · Hybrid · Full-time · Posted Jun 9, 2026
- Experience
- 2–10 years of software engineering experience, focused on distributed systems or container orchestration.
About the job
Build Kubernetes orchestration for AI inference workloads, including custom controllers, traffic management, autoscaling, and GPU resource optimization.
What you'll do
- Design and implement Kubernetes CRDs and controllers using Go and Kubebuilder to manage product lifecycles.
- Build high-performance ingress and load-balancing systems for inference traffic.
- Develop GPU-metric-based autoscaling and high-availability logic, and tune Kubernetes scheduling and resource management for GPU utilization.
What they ask for
- Strong proficiency in Go (Golang).
- Deep understanding of Kubernetes internals, including API machinery, controller runtime, networking, and CNI.
- Understanding of distributed consensus and state management.
Nice to have
- Experience with Kubernetes client-go and Kubebuilder/Operator SDK.
- Experience with service meshes (Istio, Linkerd) or ingress controllers (Nginx, Traefik).
Pay
USD 100,000–200,000 (YEARLY) base salary
Tools
Go (Golang), Kubernetes, Kubebuilder, Kubernetes client-go, Operator SDK, HPA/VPA, Istio, Linkerd
AI focus
Develop and optimize infrastructure for AI inference workloads, including GPU-aware autoscaling and resource utilization.
Model-written summary · the original posting is authoritative