About the Role

Join a small, fast-moving team building AI-powered software products and the infrastructure behind them. You will own critical platform capabilities that help bring reliable, user-facing products from early requirements to production.

What You'll Do

Design, build, and operate cloud infrastructure and platform services for user-facing products and AI workloads.

Own infrastructure initiatives from open-ended goals through architecture, implementation, launch, and ongoing improvement.

Build and maintain durable workflows, containerized services, and infrastructure automation.

Design and tune databases, including schema design, scaling, and performance optimization.

Partner with product and engineering teammates to deliver reliable systems and respond to user needs.

Use AI coding tools in your day-to-day workflow to increase development speed and effectiveness.

What We're Looking For

Typically 4 to 10 years of experience in infrastructure, platform, or backend engineering, with scope and career progression demonstrating strong ownership.

Extensive hands-on experience operating production cloud infrastructure across AWS, GCP, and Azure.

Experience with Infrastructure as Code tools such as Terraform or CDK, and production Docker workloads.

Production experience with Temporal or a comparable durable workflow orchestration platform.

Strong database expertise, including schema design, scaling, and performance tuning; the stack includes Postgres, Redis, and ClickHouse.

Experience supporting large-scale production systems or working with substantial data volumes, ideally including infrastructure for AI agents or machine learning workloads.

Startup experience, or experience combining work at a larger technology company with a startup environment.

Daily use of AI coding tools and the ability to explain your development workflow.

Compensation & Benefits

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

Location

On-site in San Francisco, United States.