Staff Software Engineer, Infrastructure

About the Role

Join a small engineering team at an AI and machine learning startup to build and operate reliable infrastructure for user-facing products and AI workloads. You will own core platform systems and help the team ship quickly as its products and usage grow.

What You'll Do

• Build and operate cloud infrastructure and containerized services for production products.

• Design durable workflows and systems that support AI agents, long-running jobs, model routing, and inference workloads.

• Own infrastructure projects from requirements and architecture through launch and ongoing improvement.

• Design, scale, and tune databases, including systems using Postgres, Redis, and ClickHouse.

• Work with product engineers to deliver dependable platform capabilities and respond to changing product needs.

What We're Looking For

• Two to ten years of experience in infrastructure, platform, or backend engineering, with demonstrated progression into staff, lead, or equivalent scope.

• Production experience managing cloud infrastructure on AWS, GCP, or Azure, using infrastructure as code such as CDK or Terraform, and running Dockerized services.

• Hands-on experience with Temporal or a comparable durable workflow orchestration system.

• Experience operating cloud systems at substantial scale, supporting hundreds of thousands of users, or working with large volumes of data.

• Strong production database skills, including schema design, scaling, and performance tuning.

• Experience at a startup or a combination of large-company and startup experience; familiarity with TypeScript and React is useful.

• Regular use of AI coding tools and the ability to describe your development workflow; experience building infrastructure for AI agents or machine learning workloads is a plus.

Compensation & Benefits

Base salary is $200,000 to $300,000 USD annually. Visa sponsorship is available. Equity details were not provided.

Location

On-site in San Francisco, United States.