Staff Software Engineer - Platform Engineering

Redfin is revolutionizing the real estate industry by utilizing data, software, and innovative design. As a Staff Software Engineer in the Platform Engineering organization, you will enhance the frontend infrastructure and integrate generative AI to improve developer productivity.

Responsibilities:

• Own and evolve core frontend infrastructure: build tooling, testing, and CI/CD pipelines
• Design and build generative AI tooling to accelerate frontend code creation, testing, and deployment
• Drive engineering productivity by reducing toil, eliminating friction, and establishing scalable best practices across multiple frontend teams
• Research and champion forward-thinking solutions for frontend developer experience, leveraging or introducing new technologies as needed
• Iterate and Execute on technical strategy with stakeholders to identify pain points and propose long-term solutions for platform infrastructure

Requirements:

• 7+ years of experience in frontend or full-stack development, specializing in developer tooling, platform engineering, or infrastructure, with deep expertise in JavaScript/TypeScript and React
• Familiarity with leveraging and optimizing testing frameworks including: Jest, Vitest, Playwright, visual regression testing
• Familiarity with building/maintaining scalable CI/CD pipelines using GitHub Actions or similar
• Experience leading the integration of Rust-based tools into existing JS frameworks
• Comfortable leading the strategy and development of a new framework
• Proven capabilities of working with multiple stakeholders with differing opinions
• Implemented team-wide AI tools to speed up development and debug processes and improve scalability for front end development
• Familiarity with containerized workflows (Docker), observability/monitoring tools (Datadog or similar), and AI code generation tools (e.g., Claude Code)
• Proven ability to navigate ambiguity, communicate clearly with diverse stakeholders, drive technical consensus across teams, and manage priorities within large, complex codebases