As a Software Engineer on the Platform Engineering team, you are at the core of how Redfin builds and delivers software. Our team is responsible for the entire lifecycle of a service—from the initial scaffolding and microservices framework to the automated flows that move code through our system. We build the intelligent systems and high-leverage tooling that sit above our infrastructure, ensuring our teams can ship features with minimal friction and maximum velocity.

We are taking on new areas of focus to build a unified, scalable AI platform for the entire organization. This includes building the infrastructure to leverage AI at scale: an internal AI gateway, a plugin marketplace, and core AI skills. We are looking for an engineer with a strong systems background who can operationalize these tools, ensuring they are secure, cost-effective, and deeply integrated into our existing workflows.

About the Role

• Maintain & Modernize Developer Flows: Own and evolve the core systems that Redfin engineers use daily, including our Spring-based microservices framework, service scaffolding, and code delivery pipelines.

• Architect the AI Platform Layer: Build and scale the "plumbing" for AI adoption, including an internal gateway to manage various providers and a plugin marketplace for custom workflows.

• Operationalize AI Tooling: Lead the technical implementation of cost governance, security guardrails, and usage monitoring for all AI tools integrated into the Redfin ecosystem.

• Integrate Intelligence into the Lifecycle: Identify and implement ways to bake AI-driven tools into existing developer workflows, automating repetitive tasks and accelerating the path to production.

• Shepherd Engineering AI Adoption: Partner with engineering teams to help them onboard and use AI tools safely. You’ll serve as the technical guide to ensure their workflows are efficient, secure, and sustainable within our platform.

About You

• Strong Systems Background: You have a deep understanding of Java or a similar strongly-typed language (Spring/Spring Boot experience is a major plus).

• Practical AI Tooling Knowledge: You have experience integrating AI tools or APIs into your projects (professional or personal). You are familiar with the technical side of making these tools work, such as managing API calls, understanding rate limits, and the basic security considerations of using third-party AI services.

• Systems & Tooling Background: A track record of building frameworks, CLI tools, or automated workflows that support large-scale engineering operations.

• Operational Excellence: You have experience managing the "care and feeding" of technical platforms—focusing on reliability, cost optimization, and performance.

• Reliability Mindset: You take pride in the long-term health of the tools you build. You enjoy solving complex problems in existing codebases just as much as building new features.

• Marketplace & Gateway Design: Experience building internal developer portals, service catalogs, or API management layers.

• Internal Product Mindset: Experience treating a platform like a product, focusing on documentation, usability, and helping others adopt new tools.

• Security & Compliance: Familiarity with ensuring third-party tools and data flows adhere to corporate standards for privacy.