Payments Platform Engineer - End-to-End Ownership

Amazon Inc.

Factoria (WA)

On-site

USD 144,000 - 194,000

Full time

5 days ago
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Job summary

Amazon is seeking a Software Development Engineer for Finance Technology in WA. You will own features end-to-end across design, coding, testing, deployment and production monitoring, collaborating with finance, tax and accounts payable stakeholders to deliver high‑impact solutions.

The role emphasizes scalable, multi‑tiered systems, cloud services, and responsible use of AI agents to draft and review designs, while ensuring robust verification and production reliability.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience for large systems.
  • 1+ years of software development engineer or related occupational experience.
  • 1+ years of designing and developing large-scale distributed software applications.
  • Experience with at least one major programming language and OO design.
  • Bachelor's degree or foreign equivalent in CS/Engineering/Math or related field.

Responsibilities

  • Own features end-to-end from design, implementation, testing to production.
  • Collaborate with product managers and business stakeholders to understand needs.
  • Ship incrementally with staged rollout and measurable impact.
  • Reduce operational load with automation and self-healing mechanisms.

Skills

Software development
Distributed systems
Design patterns
Object oriented design
Cloud computing

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

C#
C++
Java
Perl

Job description

Amazon is seeking a Software Development Engineer for Finance Technology in WA. You will own features end-to-end across design, coding, testing, deployment and production monitoring, collaborating with finance, tax and accounts payable stakeholders to deliver high‑impact solutions.

The role emphasizes scalable, multi‑tiered systems, cloud services, and responsible use of AI agents to draft and review designs, while ensuring robust verification and production reliability.

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