Principal Software Engineer

The Principal Software Engineer will be accountable for shaping the technical direction for a portfolio of products and services within Technology & Solutions. This role will leverage deep engineering expertise, experience in managing engineering teams, and desire to learn, grow, and innovate. Successful candidate will be accountable for delivery of high-quality, enterprise-grade software products, embedding the use of AI across the software delivery lifecycle, and developing a culture of learning and excellence amongst the team.

• Provide accountability and engineering direction for a portfolio of products and delivery teams
• Lead by example through hands‑on technical contribution and solving critical technical challenges
• Establish, evolve, and enforce engineering standards, coding practices, quality gates, and governance frameworks that enable safe, scalable, and effective AI‑native software delivery
• Champion engineering excellence across the full software delivery lifecycle, driving secure‑by‑design development, comprehensive observability, modern testing practices, resilient deployment strategies, and operational excellence at scale
• Ensure solutions are designed and delivered to enterprise‑grade standards, embedding security, performance, resilience, scalability, and operational readiness from inception through to production
• Represent engineering in portfolio intake and triage discussions
• Collaborate with solution architects to ensure solutions align with broader architectural patterns and standards

• Champion and scale AI‑native, specification‑driven development practices across engineering teams
• Establish and embed the use of standards, frameworks and tooling for AI‑augmented development across SDLC (e.g. define standards for prompt engineering, AI code review practices, and human‑in‑the‑loop workflows)
• Champion the adoption of Git Hub Copilot, Claude Code and other approved AI coding assistants as core development tools
• Drive technical innovation through proof‑of‑concepts and evaluating emerging AI engineering tools and platforms
• Demonstrate measurable improvements in delivery velocity, quality, or efficiency through AI adoption based on production use cases

• Coach and develop engineering teams, fostering a culture of excellence, learning, and AI adoption
• Foster collaboration across teams, breaking down silos and promoting knowledge sharing
• Software engineering experience with demonstrable progression to senior technical roles
• Extensive full‑stack development expertise including backend (.NET Core, C#) and frontend (Angular or React, Type Script, JavaScript)
• Proven experience in delivering enterprise‑scale cloud solutions on Microsoft Azure
• Strong track record in managing and coaching engineering teams (minimum 3+ years in Tech Lead roles)
• Experience with AI‑native software delivery and specification‑driven development, including the use of AI‑assisted engineering tools, automated quality assurance, modern testing practices, and highly automated CI/CD workflows within enterprise‑scale environments
• Experience in microservices architecture, distributed systems, and RESTful API development and integration
• Experience in Git, Git Hub, and modern CI/CD practices including automated testing and deployment pipelines
• Hands‑on experience with Agile software development methodologies (Scrum, Kanban) and Dev Ops practices
• Strong database design, data modelling, and development expertise across relational (SQL Server, PostgreSQL) and No
  
  SQL platforms such as Azure CosmosDB
• Demonstrated ability to balance technical execution with people management and product accountability
• Proven problem‑solving skills and analytical thinking with ability to tackle complex technical challenges
• Strong decision‑making capabilities with ability to evaluate trade‑offs and make pragmatic choices under pressure

• Familiarity with agentic AI frameworks and architectures (e.g. Microsoft Agent Framework and/or equivalent frameworks in other languages)
• Experience architecting for scalability, performance, security, and operational excellence
• Ex…