About the job

Overview

Quest 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
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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