Amazon Principal Software Engineer Last Mile Payments 

India, Telangana, Hyderabad 

366712804

As a Principal Software Engineer on the Payments team, you will make key architectural design decisions that will have a large impact on these underlying systems and effect change on a critical piece of Amazon logistics. The software you will own in this role will vary from highly scaled backend web services to full-stack web applications, as well as GenAI driven features like agents to resolve disputes, aid approvals for financial claims etc. that reduce payment friction for our drivers and internal operators working. You will actively influence the major technical decision made along the way. The decisions you will make will be pivotal to improving scalability, efficiency, and lowering the cost to serve. You will also have the opportunity to innovate new experiences for drivers, working on full-stack codebases that directly impact the end-to-end driver experience. You will be a hands-on practitioner on services that power payment experiences for millions of drivers across 20+ Geos, and work on platform features that impact multiple tech teams across payments org. You will be expected to partner with 10+ teams in cross VP orgs. You will drive the adoption of GenAI tools across the organization as well as lead the technical vision for agentic tools, helping inform the long-term product vision. As the primary PE for our space, you will be the most senior engineer to a group of 40+ SDEs, and you will actively contribute to their career growth and mentor other junior engineers. You will also continue to raise the bar for our operational excellence, which on average is excellent at less than 6 pages per month for the org. You will take action to ensure that our software continues to scale well during peak events and that we operate on a strategy that effectively manages our tech debt over time.

• Object oriented programming skills preferably Java
• Data Modeling
• Distributed systems
• Microservices
• Familiarity with AWS services
• OE best practices
• Data Streaming
• Event driven architecture

• Experience with ML and working with science teams
• E2E and integration testing patterns, and code quality
• Cybersecurity
• NoSQL or NewSQL storage solutions
• Frontend development
• Any finance domain experience is a plus