We are looking for a talented Full-Stack Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to take ownership, be proficient technically, mentor and grow junior developers, encourage software development best practices, and iterate quickly.
Key job responsibilities:
– Design, build, test, and operate features for the Interests experience across web and mobile surfaces.
– Deliver end-to-end solutions with focus on maintainability, performance, and reliability.
– Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
– Understand latest trends in mobile technology and work across Amazon mobile teams.
– Build AI-powered experiences including personalized updates, relevance explanations, and contextual recommendations.
– Implement analytics events and experiment configurations to measure engagement and retention.
– Relish the idea of solving problems and be comfortable with a degree of ambiguity thats higher than most projects.
Basic Qualifications:
– 5+ years of non-internship professional software development experience
– Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
– Experience programming with at least one modern language such as Java (or similar OO language) and TypeScript (or similar).
– Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
– Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Preferred Qualifications:
– Master's degree or equivalent.
– Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
– Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
– Familiarity with AI/ML integration and generative AI applications.
– Experience with end-to-end SDLC ownership, including operations and on-call, monitoring/metrics, and incident response/RCA.
