OverviewQuest Software is seeking a QA Automation Engineer to help define and advance AI-first QA automation practices for our industry-leading On Demand Migration product on the Microsoft Azure platform. This role is intended for an experienced QA automation engineer who combines strong QA skills with automation experience in C#/.NET, Azure, cloud architecture, and hands-on experience using AI coding agents, AI-assisted development platforms, and agentic development workflows in production software engineering.
We are looking for a QA Automation Engineer to work in our market leading On Demand Migration SaaS offering. This team member will implement system test cases and automated product tests and create and manage cloud-based quality assurance labs utilizing the latest technologies and best practices. If you are eager to work with new technologies to design and develop software solutions used for local, networked, and internet-related programs, Quest is the place to be.
Responsibilities
- Contribute to the adoption of AI-first QA automation practices across the project team.
- Use AI coding agents and AI-assisted development platforms extensively in day-to-day product engineering, including solution design, implementation, automated testing, debugging, troubleshooting, refactoring, code reviews, and technical documentation.
- Design reusable prompts, agent instructions, automation workflows, validation steps, and guardrails that enable consistent and responsible AI-assisted software development.
- Build, test, document, and maintain QA/QC systems for several products in an Agile lifecycle using C#/.NET and Microsoft Azure technologies.
- Contribute as a member of an agile SCRUM team and be motivated to produce high-quality product releases with low defect rates by utilizing the latest QA/QC best practices
Qualifications
Required:
- Completion of a computer science undergraduate degree or equivalent practical experience.
- Minimum of 3+ years working experience in commercial software development
- Demonstrated professional experience using AI coding agents, AI-assisted development tools, or agentic automation workflows as a substantial part of real software development work.
- Advanced practical experience with GitHub Copilot, Claude Code, Windsurf, or comparable AI-powered development platforms.
- Demonstrated ability to apply AI coding tools to improve software design, implementation productivity, code quality, automated testing, debugging, troubleshooting, refactoring, code review, or technical documentation.
- Experience maintaining and extending product QA/QC environments with techniques such as mocking, automation, integration testing, code coverage
- Experience with ad-hoc testing of applications on Microsoft Windows desktop and server operating systems
- Knowledge of virtual machines, networking, and cloud environments, to be able to provision, configure, and secure complex test environments in the cloud
- Excellent troubleshooting and problem-solving skills. Able to help replicate and diagnose customer issues for the development team.
- Demonstrated experience with source control (Git) and issue tracking (Azure DevOps) systems in a team environment
- Good interpersonal skills and ability to work well in a team environment
Nice to Have:
- Experience in Active Directory, Entra ID, Exchange, SharePoint and/or Teams.
- Experience with PowerShell or other scripting languages.
- Experience with Selenium or similar test automation tools.
- Experience developing and maintaining YAML CI/CD pipelines using Azure DevOps, or similar systems.
