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Cloud Integration Quality Assurance Engineer

Amazon Web Services, Inc.Berwick, Pennsylvania🇺🇸United StatesPosted Sep 17, 2026

Why This Role Stands Out

This hybrid role offers exciting opportunities to drive quality for cutting-edge cloud integration projects at Amazon Web Services, developing your skills in automation and complex distributed systems. You'll thrive here if you're a meticulous mid-senior engineer passionate about ensuring robust, scalable cloud services and collaborating with top-tier teams. Apply now to build your career in a customer-obsessed and data-driven environment.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Berwick, Pennsylvania, United States
SQLAWSBashPython

Job Description

Amazon Web Services, Inc. seeks a Quality Control Engineer to ensure end-to-end quality for integrated cloud projects on AWS. In this role, you will design and execute test strategies, build automated test frameworks, and define quality metrics across complex distributed systems. You will collaborate with engineering and product teams to review architecture, troubleshoot defects, and drive root cause analysis. In AWS's customer-obsessed, data-driven culture, you'll own quality outcomes, continuously improve processes and tooling, and help launch highly reliable, secure, and scalable cloud services.

Responsibilities

  • Develop and execute quality control plans for integrated AWS cloud projects
  • Design and maintain automated test frameworks and validation pipelines
  • Monitor, analyze, and report on project quality metrics and defects
  • Collaborate with engineering, product, and operations to define quality standards
  • Conduct root cause analysis and drive corrective and preventive actions
  • Review architecture, design, and deployment artifacts for quality and compliance
  • Support release readiness reviews and go/no-go quality decisions
  • Document quality processes, test strategies, and best practices
  • Continuously improve quality tooling, processes, and automation coverage
  • Mentor teams on quality engineering practices and data-driven decision making

Required Skills

  • Software test automation
  • Quality assurance (QA) methodologies
  • AWS cloud services
  • CI/CD pipelines
  • Scripting (Python, Bash, or similar)
  • API and integration testing
  • Performance and load testing
  • Test management and defect tracking tools
  • SQL and data validation
  • Monitoring, logging, and observability tools

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