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We are hiring a Senior Quality Engineer to play a critical role in ensuring the reliability, correctness, and resilience of a modern, cloud-based software platform. This role goes far beyond checking boxes or executing scripts — you’ll be embedded within engineering teams, influencing how systems are designed, built, tested, and released. You’ll take a systems-level view of quality, working across application layers, data pipelines, and infrastructure to surface risk early and prevent failures before they reach production. This is a role for someone who thrives on ownership, autonomy, and impact.
Job Responsibility:
Act as a quality owner across services, APIs, data stores, and user-facing experiences
Influence architecture and design decisions by identifying risk patterns early in the development lifecycle
Partner with engineers to raise reliability standards rather than reacting after defects appear
Build and evolve automated testing approaches that scale with the platform
Create and maintain test coverage across multiple layers — from service logic to integration paths
Use automation strategically to reduce regressions and increase release confidence
Validate data correctness, consistency, and performance within relational databases
Investigate edge cases and failure modes that only appear under real-world conditions
Verify cloud-based deployments, environment configurations, and system integrations
Investigate complex production issues alongside engineering teams
Perform root-cause analysis and contribute to long-term corrective actions
Continuously refine quality practices based on real incidents and system behavior
Requirements:
5+ years of experience in a senior or lead-level QA or quality engineering role
Strong experience working in cloud-hosted environments
Advanced SQL skills with experience validating data integrity and performance
Hands-on experience with modern automated testing frameworks (UI and API level)
Familiarity with CI/CD pipelines and release workflows
Deep understanding of Agile delivery and software lifecycle practices
Willingness to work fully on-site in Peachtree Corners, GA
Experience testing large, interconnected systems rather than isolated applications
Background in platforms that process high volumes of data or transactions
Ability to write small utilities or scripts to support testing and diagnostics
Exposure to performance or load testing methodologies
Comfort using AI-assisted tools to enhance testing, observability, or automation
Nice to have:
Experience testing large, interconnected systems rather than isolated applications
Background in platforms that process high volumes of data or transactions
Ability to write small utilities or scripts to support testing and diagnostics
Exposure to performance or load testing methodologies
Comfort using AI-assisted tools to enhance testing, observability, or automation