Senior Software Engineer - Developer Experience & Tools

Yahoo is a leading consumer technology company with a strong foundation of 900 million users monthly. They are seeking a Senior Software Engineer to enhance developer productivity through AI-powered tools and frameworks, enabling a high-performance software development lifecycle across various platforms.

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 architectures and outputs
• Define, track, and analyze key developer experience (DevEx) metrics to isolate friction points and systematically improve engineering velocity
• Take independent ownership of major phases of the SDLC and platform environments, directly impacting the day-to-day workflow of hundreds of Yahoo Mail engineers
• Collaborate with engineering leads and cross-functional teams to design, prototype, and implement elegant solutions for complex developer pain points
• Solve complex and multifaceted software problems with guidance only in highly complex, ambiguous situations
• Act as a technical role model and mentor for peers, executing high-quality code reviews and promoting platform engineering best practices
• Lead design discussions, share systemic engineering insights, and build a culture of continuous learning and AI-assisted innovation

Requirements:

• 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, architectural design, and code refactoring
• Experience building robust internal tools for engineering organizations, including scalable backend microservices, unified CLIs, and intuitive web interfaces
• Deep understanding of modern software development practices, design patterns, continuous integration (CI), and deployment architecture
• Excellent communication and collaboration skills, with a proven ability to lead small project teams or distinct workstreams across geographically distributed teams
• Strong technical empathy for developers and a commitment to eliminating roadblocks, delays, and friction in the software development lifecycle
• Experience deploying, fine-tuning, or engineering structured prompts for foundation models within enterprise cloud environments like Google Vertex AI
• Experience with CI/CD tools and systems tools such as GitHub Actions, ArgoCD, or Jenkins
• Solid experience managing large-scale cloud infrastructure using Infrastructure-as-Code (IaC), with a focus on GCP
• Strong familiarity with Unix/Linux development and deployment environments
• Practical understanding of platform engineering principles, developer portals, and Agile development methodologies (Scrum/Kanban)