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TypeSafe AI

Infrastructure Engineer (Kubernetes Specialist)

San Francisco Office
Salary
$210K - $285K
Level
Mid
Work type
On-site · San Francisco

Not stated in the posting: visa.

Open. First seen 2 October 2026.

Apply on the company's site →

About the role

About TypeSafe

TypeSafe AI's standard text

We’re building prod, not god. TypeSafe is an AI lab pushing frontier model intelligence in a new direction, starting with System One Models. We combine the reasoning of LLMs with the reliability of code, for truly trustworthy AI. Our first model, Jev, launched in September 2026.

While others chase leaderboards, we’re rebuilding the LLM stack from first principles to make models smarter and also dependable enough to run in production. We’re a small, fast team backed by an $870M Series A led by a16z. Made in SF, with love. Come join the frontier.

About the role

We're looking for an Infrastructure Engineer to build and operate the infrastructure behind TypeSafe AI's products at global scale. You'll own the systems that serve millions of users across regions — from provisioning Kubernetes clusters across multiple clouds to optimizing networking for low-latency AI inference.

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.

What you'll do

  • 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

Requirements

  • 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

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

Life at TypeSafe

We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.

TypeSafe AI's standard text

We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.

We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.

We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.

We provide

  • 100% covered health insurance
  • Daily lunch and dinner
  • Visa sponsorships
  • 401K plans

What this role asks for

Particular to this role

Envoy · Istio · Machine Learning · Pulumi

Rare in TypeSafe AI's other 9 open postings.

Standard for DevOps / SRE / cloud roles

AWS · Kubernetes · Linux · Python · Terraform

Common in DevOps / SRE / cloud postings at any company.

In most of TypeSafe AI's ads

LLM

Named in most of its open postings, whatever the role.

73% of this description is written for the role. The rest is TypeSafe AI's standard text, folded away below.

Read against TypeSafe AI's other open postings on this site.

The team: Member of Technical Staff HIRES STEADILY

This role is one of 8 open in Member of Technical Staff. 4 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (8 of 8), Python (6 of 8), CSS (5 of 8), JavaScript (5 of 8), Kubernetes (5 of 8), Next.js (5 of 8), Tailwind (5 of 8)

OTHER ROLES ON THIS TEAM

From the team and dates on TypeSafe AI's own job board.

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