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Software Development Engineer II, AWS Invoicing

External
Amazon Web Services, Inc. logoAmazon Web · Arlington, VA
Full-timeOn-site1w ago
JavaAWS
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About the role

The AWS Bill Adjustments team, part of AWS Invoicing, owns the services that make billing right for AWS customers - refunds, credits, and invoice corrections, at scale across every AWS region. Our mission is to make adjustments fast, accurate, and increasingly self-service for AWS customers and the teams who support them. We work with our Product Manager, Tech Lead, and adjacent AWS Billing teams, in a culture of shared ownership, written communication, and operational excellence.

Requirements

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Additional Information

Want to help make sure every AWS customer's invoice is right - every single one, in every region, every day? The AWS Bill Adjustments team is modernizing how refunds, credits, and invoice corrections are processed at AWS scale - combining classical distributed-systems engineering with Generative AI and agentic workflows to dramatically improve the customer billing experience. This is an opportunity to do meaningful, mission-critical engineering: building services that AWS customers and AWS Customer Service teams rely on daily, deployed across every AWS region. You'll work in a team where engineers own features end-to-end, and partner closely with adjacent AWS Billing platform teams. The ideal candidate brings strong distributed-systems fundamentals, makes sound technical trade-offs across reliability, scalability, and maintainability, and writes code that is secure, well-documented, and built to last. You value written communication and shared ownership, and you're excited about what Generative AI means for the future of production software. If you want to work on real distributed-systems problems with direct customer impact - and grow into the AI-augmented future of operational software - we'd love to talk. Key job responsibilities - Design, build, and operate distributed services that handle billing adjustments - refunds, credits, and invoice corrections - for AWS customers worldwide - Build and integrate Generative AI and agentic workflows into our operational tooling, working with foundation models and agent frameworks to augment how billing issues are resolved - Partner with engineers on adjacent AWS Billing platform teams, our Product Manager, and Tech Lead to align on requirements, scope, and design across cross-functional initiatives - Make sound technical trade-offs across reliability, scalability, observability, and maintainability for production services deployed across multiple AWS regions - Own features end-to-end - from requirements and design documents, through implementation, launch, and ongoing operation - Participate in a shared on-call rotation, contributing to incident response, runbook quality, and the team's operational excellence bar - Continuously deepen technical expertise in distributed systems, asynchronous workflow orchestration, and the evolving landscape of AI-augmented software development


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