QA Engineer

ABOUT US HirexHire (pronounced hire by hire) is a Chicago-based recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people's goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan. We partner with companies expecting or experiencing high growth who need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses. OUR CLIENT Location : Raleigh, NC HQ (Remote) Industry : Government Technology (SaaS) Company Size : 50+ What They Do : Our client offers an end-to-end operating system for public agencies to communicate, listen, and make informed decisions. As an all-in-one engagement and communications platform, their mission is to connect government agencies with the communities they serve and facilitate equitable participation and representative data. Contact HirexHire for more client information THE ROLE Our client is seeking a Quality Assurance Engineer to help ensure the reliability, usability, and overall quality of a SaaS platform used by public-sector organizations. This role serves as a key partner to Product and Engineering teams, owning quality throughout the development lifecycle by identifying issues before they reach customers, building scalable testing processes, and contributing to a culture of continuous improvement. The ideal candidate combines strong manual testing expertise with automation experience, technical curiosity, and a customer-first mindset. WHAT YOU WILL DO Design, develop, and execute test plans and test cases for new features, enhancements, and bug fixes across web and mobile applications. Perform manual testing to validate functionality, identify edge cases, and evaluate the overall user experience. Build, maintain, and improve automated test suites using modern testing frameworks and programming languages. Execute regression testing to ensure existing functionality remains stable as new releases are deployed. Integrate automated tests into Azure DevOps CI/CD pipelines to support efficient and reliable software delivery. Partner closely with Product Managers and Software Engineers throughout the sprint lifecycle to validate requirements and ensure quality standards are met. Investigate, document, and communicate defects with clear reproduction steps, supporting evidence, and impact assessments. Utilize SQL queries and technical troubleshooting techniques to validate data, reproduce issues, and support root cause analysis. Contribute to testing strategies for larger customer initiatives, ensuring appropriate coverage based on complexity, risk, and business impact. Leverage AI-powered tools to improve testing efficiency, expand coverage, and streamline quality assurance workflows. WHAT YOU WILL NEED 3+ years of experience in Quality Assurance, Software Testing, or a similar role within a SaaS environment. Hands-on experience with automated testing frameworks such as Playwright (preferred), Selenium, Cypress, or Appium. Proficiency in at least one programming language commonly used for test automation, including Python, Java, JavaScript, or TypeScript. Experience working with modern web technologies and applications built with ASP.NET MVC, .NET/C#, React, JavaScript, jQuery, HTML/CSS, and REST APIs. Familiarity with Azure, Azure DevOps, CI/CD pipelines, and software development workflows. Strong understanding of QA methodologies including test planning, test case design, exploratory testing, regression testing, defect management, and release validation. Experience using Jira, Azure DevOps, or similar tools to track defects, manage testing activities, and collaborate with cross-functional teams. Ability to read and understand application code, troubleshoot technical issues, and effectively partner with software engineers throughout the development lifecycle. Experience writing SQL queries and working with MSSQL databases to validate data, investigate issues, and support root cause analysis. Demonstrated ability to leverage AI tools as a productivity multiplier for generating test cases, improving automation coverage, streamlining workflows, and enhancing overall testing effectiveness.