Shape the future of profit intelligence at Amazon by building cutting-edge AI-powered data platforms. This role offers a unique opportunity to work at the forefront of machine learning, distributed systems, and data engineering. You will develop tools that provide actionable insights from large-scale business data, directly influencing financial and operational strategies across the company.

Join a dynamic team focused on understanding and predicting profitability for millions of shipments daily. We embrace innovation, encourage risk-taking, and prioritize practical execution over rigid processes. If you're driven by impactful work and a passion for solving complex challenges, this is the place for you.

Architect and develop robust, scalable platforms for ingesting, processing, and delivering insights from petabyte-scale datasets. Integrate advanced AI capabilities, including large language models, to enhance internal analytics tools. Design and implement machine learning pipelines for anomaly detection, forecasting, and trend analysis.

Collaborate closely with scientists, analysts, and product managers to translate business needs into technical solutions. Champion engineering excellence by setting coding standards, leading design reviews, and ensuring operational health. Mentor junior engineers and foster team growth through knowledge sharing and code reviews. Own services throughout their lifecycle, from development to production.

We are seeking a Software Development Engineer with a minimum of 3 years of professional software development experience, excluding internships. A strong foundation in system design and architecture, including patterns, reliability, and scaling, is essential, with at least 2 years of dedicated experience in this area. Proficiency in at least one programming language is required.

Preferred qualifications include 3 years of experience across the full software development lifecycle, encompassing coding standards, code reviews, source control, build processes, testing, and operations. A Bachelor's degree in Computer Science or a related field is highly desirable.