Infrastructure Software Engineer

San Francisco. Posted 2 months ago

The role

You will design and write services, platforms, and tooling that the rest of engineering builds on. You will build and scale systems to ensure infrastructure is highly available, cost-effective, and able to handle traffic and compute demands.

What you will do

Design and build multi-tenant services for isolated capacity, routing, quotas, and observability.
Build internal platforms and solutions for product and research engineers.
Scale multi-tenant services that front model providers.
Run Temporal, Postgres, MongoDB, and Kubernetes fleet at scale.
Own the reliability program by defining SLOs and improving CI/CD.
Build the developer platform for an engineering org that ships dozens of times a day.
Design network and identity boundaries across production, preprod, and research compute.
Attribute spend across data centers and inference providers.
Build tooling that lets the rest of engineering self-serve.

Required qualifications

Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics
2+ years of relevant industry experience
Deep grasp of reliability and scalability fundamentals
Experience operating production systems
Strong software engineering fundamentals
Write code in Python or Go
Familiarity with cloud infrastructure (AWS)
Familiarity with infrastructure-as-code (Terraform)
Working knowledge of containers

Nice to have

Kubernetes experience

Benefits

Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.