Aviation QA Engineer II — Test Automation & QMS Lead

Amazon

Redmond (WA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Amazon LEO is seeking a Quality Assurance Engineer to build and own the quality foundation for the software stack powering in-flight connectivity for commercial airlines. The role defines SQA plans, test strategies, automation frameworks, and QMS processes across the fleet and airline customers.

This position blends process creation with hands-on testing, driving QMS compliance, traceability, and a data-driven quality culture that informs engineering and program decisions affecting

Responsibilities

  • Establish the Quality Management System (QMS) framework - define processes, standards, and workflows from development to aviation certification.
  • Own the test strategy for unit, integration, system, and HIL test levels.
  • Build and execute integration test plans for program milestones.
  • Establish requirements traceability from software requirements through design, tests, and results.
  • Define and enforce performance testing with measurable acceptance criteria.
  • Build test automation for the CI/CD pipeline.
  • Drive testability in architecture reviews and design reviews.
  • Establish defect management and quality reporting for release decisions.
  • Champion a quality culture and ensure aviation-grade quality is embedded from day one.

Skills

Quality Assurance
Test automation
SQA planning
CI/CD
Traceability
Test strategy
Quality culture
Architecture reviews

Tools

CI/CD pipeline
HIL testing

Job description

Amazon LEO is seeking a Quality Assurance Engineer to build and own the quality foundation for the software stack powering in-flight connectivity for commercial airlines. The role defines SQA plans, test strategies, automation frameworks, and QMS processes across the fleet and airline customers.

This position blends process creation with hands-on testing, driving QMS compliance, traceability, and a data-driven quality culture that informs engineering and program decisions affecting

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