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Infrastructure Engineer (Kubernetes Specialist)

TypeSafe AI· Engineering
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San Francisco Office$150k - $250kFull-timePosted 1mo ago

About the role

Infrastructure Engineer to design, deploy, and operate Kubernetes clusters and supporting infrastructure for large-scale LLM inference workloads across multiple clouds and regions.

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)
  • Operate and improve observability: monitoring, alerting, tracing, logging

Qualifications

  • Deep experience with Kubernetes in production at scale: networking, storage, scheduling, upgrades
  • Strong background in AWS
  • Hands-on experience with infrastructure as code (Pulumi, Terraform, or similar)
  • Solid understanding of Linux networking
  • Track record with high-traffic production ML systems
  • Programming fluency, Python preferred

Skills

Required:Kubernetes (production, scale)AWSInfrastructure as codeLinux networkingPython

Benefits

  • 100% covered health insurance
  • Daily lunch and dinner
  • Visa sponsorships
  • 401K plans
Last updated Oct 20, 2026. Interested? Apply on the company site.

About TypeSafe AI

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.

System One ModelsJevRLCDReinforcement Learning for Calibrated Decisionscalibrated decisionLLMsTypeSafe AI
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