Staff Software Engineer, End-to-End Platform Lead

Redwood Materials Inc.; San Francisco (CA); Hybrid; USD 180,000 - 250,000; Full time

Job summary

Redwood Materials in California seeks a Staff Software Engineer to own a domain of Redwood OS end to end, shaping requirements, designing, shipping, and running it in production.

You will translate business asks into clear specs for engineers and AI agents, make tradeoff decisions across APIs and data models, and mentor teammates while collaborating on-site with operators three days a week.

Qualifications

• 10+ years of software engineering experience with leadership.
• Ownership of end-to-end problem space with minimal direction.
• Strong Python and production React; AWS experience.
• System design depth: API design, data modeling, services.
• Clear, concise technical writing in specs and PRs.
• Experience with AI coding agents and owning end-to-end results.

Responsibilities

• Own a domain of Redwood OS end to end: shape the problem, design, ship, and operate in production.
• Turn ambiguous business asks into clear specs for engineers and AI agents.
• Make tradeoff-aware design decisions across APIs, data models, integrations, observability, and access control.
• Set the bar in code review, use AI effectively, verify output at volume, and take ownership of shipped work.
• Keep the platform coherent as multiple engineers and agents change it in parallel.
• Debug and resolve production issues, improve system reliability.
• Raise output through documentation, conventions, tooling, and mentoring.
• Work on-site with stakeholders 3 days/week: floor walks, observations, demos.

Skills

Domain ownership

Technical leadership

Python

React

APIs & data modeling

AI coding agents

Documentation & PRs

Production systems

Tools

AWS

Dynamics 365

Job description

Redwood Materials in California seeks a Staff Software Engineer to own a domain of Redwood OS end to end, shaping requirements, designing, shipping, and running it in production.

You will translate business asks into clear specs for engineers and AI agents, make tradeoff decisions across APIs and data models, and mentor teammates while collaborating on-site with operators three days a week.