Join Amazon Enterprise Engineering (EE) to build and manage the internal productivity platforms powering Amazon employees. This is an exciting opportunity to work on a greenfield project, developing a self-service data governance platform. This innovative system will manage how employee data is accessed, classified, and audited across systems like Slack, M365, and more, ensuring legal and privacy compliance at Amazon's scale. You'll have significant ownership, collaborating directly with Legal, Privacy, and Security stakeholders to translate policy into robust enforcement logic and build systems that safeguard data for every Amazonian.

Are you a self-starter who thrives on transforming ambiguous challenges into clear, elegant solutions? If you're passionate about end-to-end software development and eager to apply cutting-edge technologies, including Generative AI, to solve significant problems in data governance and privacy, we encourage you to apply.

- Design, develop, and implement comprehensive software solutions across the entire development lifecycle. - Write high-quality, maintainable code, actively contributing to code reviews and mentoring peers. - Diagnose and resolve operational issues, enhancing system reliability and performance. - Collaborate with stakeholders and cross-functional teams to deliver impactful technical solutions. - Explore and integrate new tools, including Generative AI, to boost team productivity and software quality.

- Bachelor's degree or equivalent experience. - Minimum of 3 years of professional software development experience, excluding internships. - Proven ability to contribute to system architecture and design, focusing on reliability and scalability is a plus.