Senior Software Engineer

Key Responsibilities 

• Learn and navigate a large existing codebase across UI, services, business logic, databases, and background processing components. 

• Analyse and document current system behaviour, dependencies, and technical debt. 

• Communicate complex technical concepts, architecture decisions, delivery progress, and risks effectively to both technical and non-technical stakeholders, ensuring alignment across engineering, product, operations, and business teams. 

• Create characterisation and regression tests around critical functionality before implementing changes. 

• Contribute to architecture, migration planning, and incremental modernisation initiatives. 

• Develop APIs, services, background workers, UI components, and data access layers. 

• Enhance CI/CD pipelines, automated testing, observability, and engineering standards. 

• Collaborate with cross-functional teams and communicate technical decisions and risks. 

Required Qualifications 

• 7+ years of software engineering experience with C# and .NET. 

• Strong experience with both .NET Framework and modern .NET / ASP.NET Core. 

• Experience modernising or migrating large-scale enterprise applications. 

• Strong SQL Server expertise including T-SQL, stored procedures, query tuning, indexing, and schema changes. 

• Experience with Entity Framework / EF Core or similar ORMs. 

• Strong understanding of software architecture, SOLID principles, dependency injection, and domain-driven design. 

• Experience designing and building RESTful APIs and OpenAPI/Swagger. 

• Experience with asynchronous processing, queues, scheduling, retries, and idempotency. 

• Front-end experience with Vue.js (preferred), TypeScript, HTML, and CSS. 

• Experience with automated testing, Git, and CI/CD platforms such as Azure DevOps or GitHub Actions. 

• Understanding of application security, OAuth2/OpenID Connect, OWASP principles, and observability practices. 

Preferred Qualifications 

• Cloud experience with Azure. 

• Docker, Kubernetes, and Infrastructure as Code (Bicep or Terraform). 

• Experience modernising legacy web applications and reporting solutions. 

• Experience with Redis, workflow engines, or approval-management systems. 

• Experience using AI-assisted development tools. 

• Daily user of AI-powered development tools such asClaude Code, GitHub Copilot, OpenAI, or similar platforms.
• Hands-on experience withn8n and other workflow orchestration platforms to automate engineering and business processes.
• Experience designing, implementing, and operatingagentic workflows involving AI agents, tool usage, autonomous task execution, and multi-agent collaboration.
• Strong understanding of LLM integration patterns, RAG architectures, vector databases, MCP integrations, prompt engineering, and agent orchestration frameworks.
• Demonstrated ability to identify opportunities where AI can eliminate manual work, accelerate delivery, improve quality, or enhance customer experiences.
• Experience building production-grade AI solutions rather than simply experimenting with AI tooling.