Software Engineer, Under the Roof Labor Planning, UTR

Do you pioneer Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base focusing first on our customer and working backwards The Under the Roof Labor Planning Technology (UTRPT) team is looking for a Software Development Engineer to join us in creating solutions that power Amazons labor planning capabilities.

Our team owns fundamental services used to make labor planning recommendations working closely with Science and Data Engineering teams to integrate and support planning solutions. As a member of our engineering team youll have the opportunity to write high-quality code collaborate across teams and contribute to services that impact Amazons operations at scale.

Join us as we continue to evolve how labor planning works at Amazon! In this role you will: Write and maintain high-quality well-tested code that meets Amazons standards Work with Science and Data Engineering partners to implement and support model integrations Participate in the full software development lifecycle including coding testing deployment and operations Contribute to team operational excellence through on-call support and problem resolution

A day in the life
- Using AI-native software development you will design build and maintain production services that support labor planning recommendations across Amazons fulfillment and delivery network
- Collaborate with Science and Data Engineering partners to implement and integrate planning models and data pipelines
- Participate in the full software development lifecycle: design code review testing deployment and operational support
- Work across cross-functional teams to deliver end-to-end planning capabilities that impact operations at scale
- Write clean well-tested code and participate actively in code reviews to uphold engineering standards

About the team
The Under the Roof Labor Planning Technology (UTRPT) organization builds the software systems that power labor planning across Amazons fulfillment delivery and operations networks. Our services influence how hundreds of thousands of associates are scheduled every day generating shift recommendations capacity predictions and planning signals that operators and planners depend on. We work at the intersection of software engineering machine learning and operations research partnering closely with Science and Data Engineering teams to bring planning models into production. We value engineering rigor operational ownership and continuous improvement and were in the middle of a multi-year effort to consolidate and scale our platform across new business lines and geographies.

- 3 years of non-internship professional software development experience
- Experience programming with at least one software programming language
- 1 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience

- Bachelors degree in computer science or equivalent
- Knowledge of machine learning model architecture and inference

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