Senior Software Engineer - Developer Experience & Tools

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever. A little about YAHOO! Yahoo, with a strong foundation of 900 million users monthly, is in the midst of a renaissance; backed by substantial investment to drive meaningful, long-term growth, led by great products. Are you up for the challenge of writing a chapter on one of the biggest consumer product success stories in history? This won’t be easy, but if you’re motivated by huge opportunities, backed by an organization that is ready to invest in bold initiatives, and can’t wait to start building, Yahoo is the place for you. A little about US Yahoo is composed of organizations, each led by a GM, driving key product lines. This role is within the Yahoo Mail group, which includes its flagship product, Yahoo Mail. You will be starting on offense; the product line (4.5+ star apps & responsive web experiences), business, and tech (modern front-end stacks with significant backend re-architecture just beginning) provide a healthy start, with lots of upside to realize. Now, we need you to be a key part of our next chapter - enabling the Mail engineering organization with AI-powered tools, fr [... source excerpt omitted ...] interested in joining a world-class team of highly collaborative engineering professionals who care about making developer lives highly productive, then we’d like to talk to you. Responsibilities: Architect, build, and optimize developer productivity tools leveraging multiple AI tools (e.g. Claude, Cursor, Vertex AI) to provide contextual code suggestions, automated testing, and smart documentation. Identify and implement AI-driven efficiencies in the developer inner-loop, transitioning manual SDLC processes into intelligent, agentic workflows. Establish automated review systems and validation frameworks to verify, clean, and monitor the quality of AI-generated software architectu [... source excerpt omitted ...] g platform engineering best practices. Lead design discussions, share systemic engineering insights, and build a culture of continuous learning and AI-assisted innovation. Basic Qualifications: BS in Computer Science (or equivalent) with 6+ years of professional software development experience. Strong core computer science fundamentals, including advanced competencies in data structures, algorithms, and modular software design. Proficiency in at least one modern programming language such as Java, Python, or Golang. Hands-on experience integrating AI coding assistants, code generation tools, or specialized LLM agents into active development pipelines to accelerate debugging, archi