Senior / Staff Software Engineer, Infrastructure

About the Role

Join a small engineering team building AI-powered software and core SaaS infrastructure. In this senior or staff-level role, you will own substantial product and platform areas from early requirements through launch, helping make complex business systems accessible to non-technical users.

What You'll Do

• Build and own user-facing products and platform capabilities across AI agents, app building, mobile experiences, and headless SaaS services.

• Turn open-ended goals into simple, complete products, using user feedback to guide development and iteration.

• Partner with company leadership on product requirements and move features from design through architecture, data modeling, API design, and production launch.

• Create straightforward interfaces for business systems such as CRM, ERP, warehouse management, and HR platforms.

• Improve SaaS foundations, including billing, entitlements, analytics, experimentation, feature flags, internationalization, and notifications.

• Use AI coding tools as part of your daily workflow to deliver high-quality work with urgency.

What We're Looking For

• Typically 2 to 10 years of experience in infrastructure, platform, or backend engineering, with a record of progressing into senior or staff-level ownership.

• Experience owning and shipping a complete product module, rather than focusing only on incremental features or bug fixes.

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

• Experience managing infrastructure as code with CDK or Terraform and orchestrating server or container fleets, such as with Kubernetes or Docker on AWS.

• Strong production database experience, including schema design, scaling, and performance tuning. The technology stack includes TypeScript, React, Postgres, Redis, and ClickHouse.

• Daily experience with AI coding tools and the ability to explain your workflow.

• At least one year at a fast-growing startup or a high-bar product or developer tools company, or equivalent experience building a startup.

• 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.