Staff Software Engineer, Infrastructure

About the Role

Join a small AI/ML product engineering team building infrastructure for user-facing software and AI-powered products. You will own core platform capabilities end to end, helping the team ship reliable services that support demanding workloads and a growing user base.

What You'll Do

• Build and operate cloud infrastructure and containerized services using infrastructure as code.
• Develop durable workflows for long-running product and AI agent tasks.
• Design, scale, and tune production databases, including services built with Postgres, Redis, and ClickHouse.
• Build infrastructure supporting AI agents and machine learning workloads, including long-running jobs, model routing, inference, or GPU orchestration.
• Own infrastructure initiatives from architecture and data modeling through production deployment and ongoing improvement.
• Use user feedback and AI coding tools to move quickly while maintaining a high standard of engineering quality.

What We're Looking For

• Typically 2 to 10 years of experience in infrastructure, platform, or backend engineering, with a demonstrated progression into senior, lead, or staff-level scope.
• Production experience with infrastructure as code using CDK or Terraform, Docker, and a major cloud provider such as AWS, GCP, or Azure.
• Hands-on experience with Temporal or a comparable durable workflow orchestration system.
• Strong production database experience, including schema design, scaling, and performance tuning.
• Experience operating infrastructure at substantial scale or working with large volumes of data.
• Startup experience or experience combining work at a larger technology company with a startup environment.
• Daily use of AI coding tools, with the ability to explain your development workflow.
• Experience with AI agent or machine learning infrastructure is valuable. The product stack includes TypeScript, React, and Postgres.

Compensation & Benefits

Base salary

$200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, United States.