Infrastructure and Reliability Engineer - Developer Platform

As an ML infrastructure and reliability engineer, you will join the team responsible for building and maintaining TypeSafe’s API platform for inference. These APIs will be user facing, latency sensitive, and (once we ship) have uptime, reliability and backwards compatibility requirements.

The role is wide ranging and you will wear many hats. Responsibilities include:

Create robust infrastructure for serving inference across multiple cloud providers

Work to ensure inference infrastructure and services are reliable and have low error rates

Create and maintain infrastructure for monitoring and alerting on requests, improving our debugging and operations stance

Ramp up oncall engineers on error handling in production via playbooks, mentorship, “fire drill” exercises, etc.

Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including Claude Code and Cursor.

Are responsible, ownership-inclined, and a team player – you believe there is no such thing as "other people's code", and will complain only the normal amount about pager duty

Experience building and operating backend services at scale with continuous delivery

Experience designing resilient systems and improving on-call experience on production systems

Are excellent under pressure – especially debugging/resolving outages

Collaborate well with others on technical and product design, advocating for what you need, and adjusting specs to changing requirements and feedback

Are mission aligned and excited to go all-in

Love being part of a team

Have previously built big things

Are detail-oriented to the point of helpful paranoia

Have 5+ years of professional software engineering experience (3+ years of infra/backend) with a team with rigorous engineering standards

Have experience with Kubernetes, cloud providers, and AWS in particular

Have experience with the challenges of ML orchestration

Have experienced LLMs’ capabilities and limitations from implementing them in the past

We’re a small, flat, close-knit team dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.

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

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

We provide

- Base salary of $180k-280k plus equity, based on leveling

- 100% covered health insurance

- Daily lunch and dinner

- Visa sponsorships

- 401K plans