Azure AI Software Developer

Overview Your AI strategy is only as strong as the data behind it. Quest Software builds the foundation for enterprise AI with solutions in data governance, cybersecurity, and platform modernization. More than 45,000 companies — including 90% of the Fortune 500 — trust Quest to solve their most critical challenges. From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential. Quest Software is seeking an AI Software Engineer to help define and advance AI-first software development practices for a cloud-native SaaS product on the Microsoft Azure platform. This role is intended for an experienced developer who combines strong C#/.NET, Python, Azure, AWS, cloud architecture, and backend engineering skills with proven hands-on experience using AI coding agents, AI-assisted development platforms, and agentic development workflows in production software engineering. The successful candidate will be expected to contribute directly to the product codebase while also helping the team adopt AI coding approaches that improve development speed, code quality, test coverage, refactoring and troubleshooting. We are looking for someone who has used AI coding agents in real software development work and can translate that experience into repeatable practices. Responsibilities Contribute to the adoption of AI-first software development 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, build, test, and maintain scalable, serverless, cloud-native SaaS capabilities using C#/.NET and Microsoft Azure technologies, including Azure Functions, Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event Hubs. Design, build, test, and maintain scalable, serverless, cloud-native SaaS capabilities using Python/TypeScript and AWS technologies, including EKS, DynamoDB, S3 and Lambda Functions. Contribute to architecture, technical decision-making, code reviews, CI/CD, release readiness, and ownership of critical product components in an Agile SCRUM environment. Qualifications Completion of a computer science undergraduate degree or equivalent practical experience. Five or more years of professional software development...

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