Typesafe AI
Infrastructure Engineer, Kubernetes Specialist
San Francisco Office
Sponsorship not specified$180k-$280kDetected 137 days ago
PythonAWSCloud PlatformsKubernetesTerraformLinuxSite Reliability EngineeringMachine LearningLLMsMLOpsIncident ResponseDNSLoad Balancing
About the role
- This is a high-impact role on a small, fast-moving team.
- You'll work across the full infrastructure stack: cloud primitives, container orchestration, networking, observability, and the specialized infra that makes large-scale model inference efficient.
Responsibilities
- Design, deploy, and operate Kubernetes clusters across multiple regions and clouds
- Build and maintain infrastructure for the platform that powers LLM inference workloads globally
- Own networking, including VPCs, peering, load balancing, DNS, service mesh, CNI
- Manage GPU infrastructure and autoscaling for ML workloads
- Write and maintain infrastructure as code (Pulumi / Python)
- We build reliable and general AI systems to power economically valuable automation.
- We build machines; we don't try to be machines.
Requirements
- Deep experience with Kubernetes in production at scale: networking, storage, scheduling, upgrades
- Track record with high-traffic production ML systems
Nice to have
- Experience with large-scale LLM / ML inference infrastructure (GPU scheduling, model serving, vLLM, KubeRay, Kubernetes-native tooling)
- Kubernetes networking depth with Cilium or other CNI plugins
- service mesh (Istio, Envoy)
- Multi-cloud infrastructure
- Background in site reliability engineering including SLOs, incident response, capacity planning
- Daily lunch and dinner
- Visa sponsorships
- Strong background in AWS
Compensation
- Base salary of $180k–280k plus equity, based on leveling
Benefits
- Base salary of $180k-280k plus equity, based on leveling
- 100% covered health insurance
Company info
- We strive for excellence and craftsmanship and won't stop until we get there.
Visa & Work Authorization
- Visa sponsorships
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This listing is sourced directly from Typesafe AI's careers page and normalized into a canonical job model.