
Member of Technical Staff, Infrastructure (Kubernetes Specialist)
About this role
This role is a full-time Member of Technical Staff position focusing on infrastructure at TypeSafe AI in the San Francisco office, suited for an experienced engineer with deep Kubernetes and AWS knowledge. The person in this position will shape the foundational systems that power real-world AI reliability and global automation at scale.
Role Overview
TypeSafe AI seeks an Infrastructure Engineer to design, build, and run the global infrastructure supporting its innovative machine-native intelligence platform. Based out of the San Francisco office near Embarcadero station, this full-time role involves managing systems that serve users across multiple regions and clouds. The professional joining the team will handle everything from multi-region container orchestration to optimizing low-latency networking for large-scale language model inference workloads.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
TypeSafe AI is an artificial intelligence laboratory headquartered in San Francisco, founded by industry alumni from Google Brain, OpenAI, and Meta/FAIR. The organization builds machine-native intelligence infrastructure designed to integrate the reliability of code with the intelligence of large language models to enable autonomous software decisions. Backed by top-tier investors, the small and flat team operates fully in person, emphasizing craftsmanship, emotional honesty, and collaborative growth.
How to Apply
Interested candidates should visit the official TypeSafe AI careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is fully in-person at the TypeSafe AI office in San Francisco, located near Embarcadero station.
What is the salary range for this role?
The base salary ranges from $150,000 to $250,000 per year, plus equity depending on leveling.
Is remote work permitted?
No, this is a fully in-person role based out of the San Francisco office.
What programming language is preferred?
Python is the preferred programming language for this position.
Are visa sponsorships available?
Yes, visa sponsorships are provided for this role.