Member of Technical Staff, Infrastructure (Kubernetes Specialist)

TypeSafe AI; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Base salary 150k-250k

Equity

Health insurance

Lunch provided

Visa sponsorships

401K

Job summary

TypeSafe AI, an AI lab in San Francisco, is seeking an Infrastructure Engineer to build and operate the infrastructure behind its products at global scale. You’ll own systems serving millions of users, provisioning Kubernetes clusters across clouds and optimizing AI inference networking.

You’ll work across the full stack—from cloud primitives to observability—with a team known for speed and impact, shaping the foundation for reliable, production-grade ML infrastructure.

Qualifications

• Deep hands-on experience running Kubernetes in production at scale.
• Strong background in AWS cloud services.
• Hands-on experience with infrastructure as code (Pulumi, Terraform, or similar).
• Solid understanding of Linux networking.
• Track record with high-traffic production ML systems.

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, and 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.

Skills

Kubernetes

AWS

IaC

Linux networking

ML systems

Python

Tools

Pulumi

Terraform

Job description

About TypeSafe

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software by combining the intelligence of LLMs with the efficiency and reliability of code into a new shape of AI: System One Models. Based in San Francisco, TypeSafe AI recently launched its first public model, Jev.

While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.

We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.

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.

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

• Base salary of $150k–250k plus equity, based on leveling

• 100% covered health insurance

• Daily lunch and dinner

• Visa sponsorships

• 401K plans