Join Amazon's Workplace Health and Safety (WHS) Tech team and contribute to creating industry-first technology solutions that enhance the safety of our global workforce. We are developing innovative applications using IoT, Generative AI, and Computer Vision, all built on native AWS. This role offers the chance to work with a wide array of technologies and build scalable, reliable products, driving significant impact on critical Amazon outcomes.

This is an opportunity for smart, passionate engineers who thrive in ambiguous environments and possess a high degree of ownership. You will leverage Amazon’s extensive development infrastructure and internal community to grow your technical skills while leading strategic initiatives. Be part of a team that prioritizes the safety and well-being of our global operations workforce.

Key responsibilities include leading the complete product lifecycle from design to maintenance of highly scalable distributed software systems. You will be instrumental in enhancing team processes, influencing technical direction, and driving operational excellence while upholding quality standards.

Collaboration is key; you will work closely with Product Managers, Technical Program Managers, and cross-functional engineering teams to deliver new product features. Additionally, you'll mentor junior engineers, promoting best development practices and providing valuable feedback to foster their growth.

We are seeking candidates with at least 3 years of professional software development experience, excluding internships, and 2+ years in designing or architecting new and existing systems, focusing on patterns, reliability, and scaling. Proficiency in at least one software programming language is essential.

An educational background including a Bachelor's degree in Computer Science is required. Preferred qualifications include 5+ years of professional software development experience and a Master's degree in Computer Science, along with experience in areas like machine learning, data mining, or natural language processing.