Join the Everyday Essentials (EE) team, a rapidly growing segment at Amazon focused on the products customers rely on daily. We are revolutionizing how customers discover, purchase, and maximize value from household staples, personal care, and grocery items. This is an opportunity to shape the future of a significant business by building innovative shopping experiences and driving monetization strategies.

Our organization focuses on Progressive Discovery and Monetization, aiming to help customers find ideal products, complete their purchases seamlessly, and enhance EE business economics. We also empower consumer brands with effective channels to connect with customers and grow. You will be instrumental in developing cutting-edge discovery and recommendation features, creating brand-facing advertising surfaces, and building the backend services that power these innovations.

Design, develop, and own software solutions end-to-end, encompassing customer research, design, coding, testing, deployment, and ongoing production operations.

Address complex, ambiguous problems by bringing clarity and delivering elegant solutions that enhance how customers find and purchase everyday essentials.

Collaborate closely with scientists, product managers, and designers to translate customer and brand needs into globally impactful products.

Leverage generative AI tools and modern engineering practices to elevate quality and accelerate development, mentoring teammates to maximize their use of these tools.

Ensure the operational health of your services by monitoring key metrics, implementing root-cause fixes, and continuously improving customer and brand partner experiences.

Elevate the technical standard through rigorous code reviews, mentorship, and attracting top talent.

A minimum of 3 years of professional software development experience, excluding internships.

Over 2 years of experience in designing or architecting new and existing systems, focusing on patterns, reliability, and scalability.

Possession of a Bachelor's degree in Computer Science or a related field.

Experience with the full software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations.

Proven ability to build complex software systems that have been successfully delivered to customers.

Skilled in debugging, profiling, and implementing best practices in large-scale systems. Familiarity with AI/ML concepts and applications is essential, with an interest in leveraging generative AI tools.