Senior .NET Software Engineer

We are seeking a skilled Senior .NET Software Engineer with solid expertise in software development and a strong understanding of secure and data engineering. This role is suited to an engineer who thrives in full‑stack environments. The ideal candidate brings strong experience in .NET (C# and VB.NET), Angular, and SQL, with excellent system design capabilities and a preference for Azure. Exposure to modern languages, AI technologies, agentic systems, and MCP (Model Context Protocol) is beneficial. Responsibilities Develop and maintain high‑quality applications using .NET (C# and VB.NET), Angular, and SQL Promote and apply Shift‑Left engineering approaches, embedding testing, quality, and security early Perform TDD and BDD as part of everyday engineering practices Understand DevSecOps principles to enhance secure and efficient software delivery Use prior experience with CI/CD tooling and practices (while not responsible for pipeline creation) Integrate secure coding standards, automated testing, and early‑stage security validation Ensure SQL‑based solutions are performant, secure, and resilient Collaborate with infrastructure/cloud teams to ensure applications align with best practices in security, reliability, observability, and scalability Conduct secure code reviews, threat modelling, and integrations of security tools Contribute to improving secure software engineering across the team and organisation Partner with security and governance teams to address vulnerabilities and improve overall posture Requirements 3+ years of software engineering experience with .NET (C# and VB.NET) Experience in front‑end engineering with Angular, TypeScript, and modern UI patterns SQL engineering experience and solid understanding of relational design Proven experience applying Shift‑Left, TDD, and BDD in real engineering environments Understanding of CI/CD principles and tooling Understanding of DevSecOps concepts, secure coding, and automated quality gates Experience building cloud‑aware applications in Azure Experience with AI/ML, LLM integrations, or AI‑powered engineering workflows Exposure to agentic systems, autonomous workflows, or orchestration agents Understanding of MCP (Model Context Protocol) Experience with event‑driven systems, microservices, or serverless architectures Azure, DevOps, or security certifications Excellent written and verbal communication skills in English (B2+ level)