Software Quality Engineer

• Location 512 Greenville Ave,Staunton, VA, 24401,United States
• Base Pay $70,000.00 - $ / Year
• Job Category Software Engineer, Quality, Automotive
• Employee Type FT Exempt
• Required Degree High school
• Manage Others No

Description

We are looking for a highly skilled Software Quality Engineer to join our development team, with a primary focus on ensuring the quality, reliability, and performance of our core point-of-sale platform and the broader ecosystem of enterprise applications it connects to. In this role, you will play an essential part in the Software Development Life Cycle (SDLC), ensuring that all software is thoroughly tested and meets business requirements prior to live deployment.

We are seeking an AI-native Quality Engineer who defaults to working through AI agents at every stage of the quality lifecycle: test planning, automated test creation, edge-case discovery, execution, and bug triage. Working hands-on across a modern full-stack codebase (React/Type Script, Fastify APIs, REST contracts, and relational databases), you will collaborate directly with engineers and business stakeholders to drive automated testing through CI/CD pipelines and ensure flawless enterprise software releases.

The employee in this position reports to the VP of Information Technology and does not supervise other employees.

• Design, build, execute, and maintain automated test suites and detailed test plans across our core platform's React/Type Script frontend and Fastify API.
• Work AI-native by default — using AI agents to generate test strategies, write automated scripts, uncover edge cases, and analyze test failures — while remaining fully accountable for the accuracy, coverage, and quality of everything verified.
• Validate REST APIs and shared schema layers (such as Zod) with a focus on contract stability, versioning discipline, and backwards compatibility across consuming applications.
• Work in an agile environment alongside software engineers across the full SDLC, executing continuous integration, end-to-end (E2E), integration, and regression testing in CI/CD pipelines with staged environments before production deployment.
• Communicate directly with business stakeholders — operations, finance, merchandising, IT, and other teams — to translate real-world workflows into concise, comprehensive test cases.
• Document, log, track, and triage bugs and defects, working closely with software developers to perform root-cause analysis and aid in problem resolution.
• Verify web application security fundamentals, including input validation, safe authorization patterns, and safe access control.
• Conduct post-release and post-implementation verification testing in production environments.
• Provide reliable testing effort estimates and consistently deliver against project timelines.
• Take on other duties as assigned, with the flexibility to adapt testing efforts as team and platform needs shift.

• Solid understanding of the SDLC and agile development practices, including writing automated tests, continuous integration/continuous deployment (CI/CD) pipelines, staged testing environments, and end-to-end verification.
• Genuinely AI-native mindset — experience utilizing AI coding and testing agents across the full QA lifecycle, with the judgment to direct them effectively and catch subtle errors in their output.
• Deep hands-on expertise with modern web automation tools (e.g., Playwright, Vitest) and modern web technologies (Type Script, React, Node.js, HTML5, CSS3, and RESTful API design).
• Understanding of relational databases, schema design, and writing queries to validate production data integrity.
• Ability to test and validate REST APIs, shared schemas (Zod), and contract stability across multiple consuming…