Staff Software Engineer, Infrastructure

About the Role

Join a small AI and machine learning product team building infrastructure for user-facing products and services. You will own core infrastructure work end to end, helping the team ship reliable systems that support growing products and demanding workloads.

What You'll Do

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

• Design durable workflows for long-running tasks and infrastructure supporting AI agents or machine learning workloads.

• Develop and improve platform capabilities across data storage, service reliability, and product infrastructure.

• Lead work from requirements and architecture through implementation, launch, and ongoing iteration.

• Collaborate closely with a small team to deliver practical solutions quickly and communicate tradeoffs clearly.

What We're Looking For

• Two to ten years of experience in infrastructure, platform, or backend engineering, with scope and responsibility that have progressed over time.

• Production experience managing infrastructure as code with CDK or Terraform and operating Docker-based services.

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

• Experience running production cloud infrastructure on AWS, GCP, or Azure at significant scale, or strong evidence of working with large data volumes.

• Deep production database experience, including schema design, scaling, and performance tuning; the current stack includes Postgres, Redis, and ClickHouse.

• Experience at a startup or a combination of large-company and startup work.

• Daily use of AI coding tools, with the ability to explain your development workflow.

• Experience building infrastructure for AI agents or machine learning workloads is a plus.

Compensation & Benefits

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

Location

On-site in San Francisco, United States.