Senior .NET AI Software Engineer

We are seeking a highly skilledSenior .NET AI Software Engineer to lead the development of innovative applications at the intersection of .NET technologies, artificial intelligence, and secure software engineering.

This position is ideal for a full-stack engineer with a passion for leveraging advanced technologies to build scalable and secure solutions.

Responsibilities

• Develop and maintain high-quality software solutions using .NET, Angular and SQL 2
• Advocate and implement Shift-Left engineering practices with a strong focus on testing, quality, and security in early stages
• Utilize Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies
• Apply DevSecOps principles to ensure secure and efficient software delivery while collaborating on CI/CD capabilities
• Integrate secure coding standards, automated testing, and security validation into the development lifecycle
• Design and optimize SQL-based solutions to ensure high performance, security, and resilience
• Partner with infrastructure and cloud teams to maintain compliance with security, scalability, and reliability best practices
• Conduct secure code reviews and threat modeling while integrating security tooling into workflows
• Address vulnerabilities and compliance gaps in collaboration with security and governance stakeholders

Requirements

• At least 5+ years of senior-level experience in software engineering with .NET
• Strong experience in front-end development using Angular and TypeScript with knowledge of modern UI design patterns
• Competency in SQL, including relational database design and optimisation
• Proficiency in applying Shift-Left engineering practices, TDD, and BDD within real-world development environments
• Strong understanding of modern AI-assisted development practices and ability to effectively integrate AI tools into daily engineering activities while maintaining high standards of code quality and security
• Background in CI/CD principles and tooling alongside DevSecOps concepts, including secure coding and automated quality processes
• Expertise in building scalable, cloud-based applications with Azure

Nice to have

• Exposure to AI/ML technologies, including integrations with LLMs or AI-powered workflows
• Familiarity with agentic systems, autonomous workflows, or orchestration agents
• Knowledge of the MCP (Model Context Protocol)
• Background in event-driven systems, microservices, or serverless architectures
• Azure, DevOps, or security certification