Azure AI Software Developer

Job summary

The role involves developing cloud-native SaaS capabilities on Azure and AWS while leading the adoption of AI-first software development practices. The candidate will use AI coding agents to improve development speed, code quality, and overall engineering workflows.

Job details

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 a n 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 review s , 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 Py thon /T ype Script 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 experience, including strong hands-on C# , .NET and Python experience. Demonstrated professional experience using AI coding agents, AI-assisted development tools, or agentic development 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. Design reusable prompts, agent instructions, development workflows, validation steps, and guardrails that enable consistent and responsible AI-assisted software development. 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 building Azure cloud applications using event-driven, service based or microservice architectures . Experience building scalable backend services and distributed systems . Strong understanding of object-oriented design, design patterns, SOLID principles, secure development, automated testing, continuous integration, debugging, and maintainable software architecture. Strong written and verbal communication skills, technical leadership, and the ability to collaborate effectively in an Agile team environment. Nice To Have Experience developing and maintaining YAML CI/CD pipelines using Azure DevOps, Jenkins, Github Actions, Terraform or similar systems. Experience with Azure OpenAI Service, large language model APIs, evaluation frameworks, observability, or AI application security. Experience with Angular or React and TypeScript. Experience with PySpark (Python + Spark) Company Overview Quest Software enables organizations of all sizes to better secure, manage, monitor, protect, and analyze information and infrastructure to help fuel innovation and drive their businesses forward. Quest builds solutions across data governance, cybersecurity, and platform modernization. More than 45,000 companies, including 90% of the Fortune 500, trust Quest to solve critical IT challenges, from securing identities and modernizing platforms to preparing enterprise data for AI. Why Quest Work on enterprise-scale commercial software used by customers worldwide. Collaborate with dedicated professionals who are passionate about technology and practical innovation. Help shape how AI-assisted development practices are applied to a mature on-premises product and engineering team. Grow your career through learning opportunities, mentorship, leadership programs, and a collaborative global team environment. Benefit from competitive pay, annual bonuses, comprehensive benefits, flexible work options, generous PTO, and wellness programs. Quest is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Quest is committed to equal employment opportunity for all employees and to providing a work environment free of discrimination and harassment. Employment decisions are based on business needs, job requirements, and individual qualifications.

What you’ll do

The role involves developing cloud-native SaaS capabilities on Azure and AWS while leading the adoption of AI-first software development practices. The candidate will use AI coding agents to improve development speed, code quality, and overall engineering workflows.

Requirements

Requires a computer science degree and over five years of professional experience in C#, .NET, and Python. Proven hands-on experience with AI-assisted development platforms and cloud-native architecture is essential.

Benefits

• Competitive Pay • Annual Bonuses • Comprehensive Benefits • Flexible Work Options • Generous PTO • Wellness Programs

Listed skills

• Microsoft Azure · Preferred
• Kubernetes · Preferred
• TypeScript · Preferred
• .NET · Preferred
• Amazon Web Services · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• C#
• .NET
• Python
• Azure
• AWS
• AI Coding Agents
• Cloud Architecture
• Backend Engineering
• GitHub Copilot
• Claude Code
• Windsurf
• Microservices
• TypeScript
• Azure Functions
• Cosmos DB
• Kubernetes

Job areas

• Software
• Technology
• Engineering
• Data & Analytics