.Net Tech Lead (AI)

My client based in Dublin are seeking an experienced IT Development Lead to drive a major modernisation programme across a complex enterprise environment.

Hybrid: 3 days per week onsite

This is a hands-on technical leadership role combining architecture, cloud transformation, and engineering delivery, with a strong focus on modernising legacy platforms and embedding AI-driven development practices.

Responsibilities:

• Own and improve the end-to-end software delivery lifecycle, embedding CI/CD, DevOps, and automation best practices
• Lead the migration from legacy integration platforms to modern cloud-based architectures
• Define and enforce Azure cloud standards, patterns, and guardrails
• Manage and optimise cloud environments with a focus on cost, security, and resilience
• Champion the adoption of AI-assisted development tools (e.g. GitHub Copilot, Claude Code, etc.)
• Establish governance for AI-generated code, quality, and security standards
• Identify opportunities for AI across the SDLC including testing, monitoring, and incident response
• Work closely with stakeholders on prioritisation, architecture decisions, and delivery planning
• Manage relationships with third-party vendors and delivery partners
• Mentor engineers and support capability growth across cloud and modern engineering practices

Experience:

• 10+ years’ software development experience, including 3–5+ years in technical leadership
• Strong experience in cloud transformation programmes (Azure preferred)
• Hands-on experience with modern stacks such as .NET, Node.js, Python, React, TypeScript
• Strong understanding of CI/CD, DevOps, Docker, Kubernetes, or similar tooling
• Experience delivering cloud migrations and legacy system modernisation
• Familiarity with AI-assisted development tools and workflows
• Experience working with vendors, contractors, and cross-functional teams

Nice to Have

• Azure certifications (AZ-305, AZ-400)
• Experience with event-driven or serverless architectures
• Exposure to FinOps / cloud cost optimisation
• Experience implementing GenAI solutions in enterprise environments
• Background in insurance or automotive sectors