Expert Software Engineer

Work with tools such as Azure AI Foundry, Azure OpenAI, Copilot, Claude, Cursor, and modern agent frameworks.

Engineering Excellence & Delivery

Lead complex development efforts across multiple microservices and disconnected architectures.

Conduct deep‑dive code reviews, performance tuning, and architectural assessments.

Solve the most challenging technical problems across the stack, from API design to SQL optimisation to cloud scalability.

Mentor senior developers and guide teams in advanced engineering practices, design patterns, and system thinking.

Ensure high‑quality delivery across the full SDLC, including design, development, testing, deployment, and observability.

Collaboration & Influence

Act as a trusted technical advisor to product, architecture, and leadership teams.

Influence engineering culture, standards, and strategic technology decisions.

Communicate complex technical concepts clearly to both technical and non‑technical audiences.

Lead by example, fostering a culture of innovation, ownership, and continuous improvement.

What technical skills, experience, and qualifications do you need?

Core Technical Expertise

10–14+ years of experience in software engineering, ideally in financial services or KYC/AML.

Deep expertise in C#, .NET Core, Web API, LINQ, Entity Framework, MVC, and microservice architectures.

Strong full‑stack capability (JavaScript/React/Angular preferred).

Advanced SQL performance tuning and experience with complex, multi‑tier systems.

Strong grounding in SOLID principles, design patterns, and architectural decision‑making.

Experience designing and maintaining large‑scale, distributed, cloud‑native systems.

Cloud & DevOps

Strong experience with Azure, including Function Apps, API Management, App Services, and DevOps pipelines.

Ability to design cloud‑native architectures with scalability, resilience, and security in mind.

AI & Agentic Development (Expert Level)

Deep expertise in LLM architectures, prompt engineering, RAG, semantic search, vector databases, and agentic AI patterns.

Hands‑on experience building AI agents for development, QA, performance testing, and security automation.

Strong knowledge of Azure AI Foundry, Azure OpenAI Service, and modern AI/ML frameworks.

Ability to design and optimise AI‑augmented SDLC workflows, demonstrating clear ROI and engineering efficiency gains.

Ability to communicate AI concepts to executives, architects, and non‑technical teams, influencing organisational adoption and strategy.

Experience with tools such as Copilot, Claude, Cursor, and frameworks like LangChain for building production‑grade AI systems.

Leadership & Influence

Recognised as a go‑to expert within your current organisation.

Proven ability to mentor senior engineers and uplift team capability.

Strong communication skills, able to translate complex concepts into clear, actionable insights.

Qualifications

Bachelor’s degree in IT or related field preferred.

10–14+ years of relevant experience, or equivalent combination of education and expertise.

Why This Role Matters

This is a high‑impact role for someone who wants to shape the future of our engineering landscape, from architecture to AI adoption to platform evolution. You will influence not just what we build, but how we build, how fast we deliver, and how we scale.