Software Engineer, Under the Roof Labor Planning, UTR
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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 Amazon's 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, you'll have the opportunity to write high-quality code, collaborate across teams, and contribute to services that impact Amazon's 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 Amazon's 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 Amazon's 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 Amazon's 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 we're 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
- Bachelor's degree in computer science or equivalent
- Knowledge of machine learning model architecture and inference
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 152933557
Skills:
billing systems , Algorithms, Software Development, Testing, Software Design, Programming Languages, Distributed Systems, data structures, subscription management best practices, cloud billing architecture, accessible technologies, subscription lifecycle management, financial transaction processing
Skills:
Nunit, Design Patterns, Page Object Model, Mstest, Appium, Json, Solid Principles, Automation Framework Development, Git, Xml, Selenium, Postman, Rest Apis, Xunit, Python, Data-driven testing, Playwright, FLAUI, Winapp driver
Skills:
Agile Development, Debugging, Version Control Systems, IFS Solutions, quality assurance practices, Troubleshooting, modern frameworks, software testing methodologies, optimizing software components, modern programming languages, collaborative development tools
