Quality Engineer

Title: QE EngineerLocation: North Carolina Job Description:Role Overview We are seeking a skilled Quality Engineering Automation Engineer to embed directly within our application development teams. This is an engineering-led role focused on designing, building, and sustaining automated test systems that improve product quality, delivery confidence, and system resiliency. The ideal candidate approaches quality as a software engineering discipline — writing maintainable test code, thinking systemically about failure modes, and working side-by-side with developers to shift quality left. This role is not primarily about manual testing or test case management; it is about building reliable, code-driven automation at scale.Key Responsibilities Test Design & Implementation • Design and implement automated test suites that span multiple layers of the application stack — from unit and integration tests through to end-to-end scenarios • Build stable, maintainable tests for both frontend interfaces and backend services, using programming languages and frameworks appropriate to the technology stack • Develop API and service-level tests that validate contracts, data flows, and business logic across distributed systems • Implement resiliency and non-functional tests to validate system stability, reliability, and graceful degradation under failure conditions Test Infrastructure & Strategy • Create test harnesses, mocks, stubs, and test data strategies that enable reliable, repeatable automation • Contribute to quality gates and automation standards within build and deployment pipelines to enable continuous testing • Support test strategies for applications integrated with cloud-based services and infrastructure • Diagnose and resolve test failures in collaboration with application engineers, improving signal quality and reducing flakinessEngineering Collaboration • Partner closely with application engineers to embed testing into feature development from the outset • Influence engineering quality practices across teams, helping define standards and patterns for testability • Continuously improve test coverage, execution speed, and overall feedback loop qualityWhat Success Looks Like (First 6–12 Months) • Automated test coverage is measurably expanded across frontend and backend systems • Continuous testing provides fast, reliable signal on code changes throughout the pipeline • Defects are consistently detected earlier in the development lifecycle, reducing downstream cost • End-to-end tests are stable, trusted, and actively maintained by the broader engineering team • Application engineers are collaborating on and contributing to automated tests as a standard practice • Production incidents attributable to regressions show a measurable decline over time Minimum Qualifications • Bachelor’s degree in computer science, Engineering, or a related field — or equivalent professional experience • 3–6 years of hands-on experience in software quality engineering or test automation in a software product environment • Strong programming proficiency in at least one modern, widely-adopted language; ability to write clean, maintainable test code • Demonstrated experience building automated tests for backend APIs and services, including validation of request/response contracts and error handling • Experience with automated testing of modern web-based frontend applications • Familiarity with version control practices and collaborative software development workflows • Ability to work closely with software engineers in Agile delivery teams, contributing directly to sprints and feature workPreferred Qualifications • Hands-on experience with end-to-end UI test automation, including strategies for managing test reliability and reducing flakiness • Experience with API testing approaches including contract testing, schema validation, and service level verification • Familiarity with component-level testing strategies and visual regression concepts for frontend systems • Experience testing applications that integrate with cloud services, including awareness of infrastructure-related failure scenarios• Exposure to performance, resiliency, or reliability testing — such as load testing or chaos engineering concepts • Understanding of test automation design patterns, including mocking, test isolation, and test data management • Familiarity with behaviour-driven development (BDD) practices or structured test management approaches is a plus, but not required