Senior / Staff Software Engineer, Infrastructure

About this role

About the RoleJoin 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 DoBuild 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 ForTypically 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 & BenefitsBase salary: $200,000 to $300,000 annually. Visa sponsorship is available. LocationOn-site in San Francisco, United States.