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Senior Full Stack Developer responsible for building and maintaining .NET backend and modern frontend applications, designing APIs and integrations, contributing to Azure cloud solutions, participating in architecture and technical discussions, writing maintainable secure code, and collaborating with product owners, designers, and developers to deliver scalable solutions.

Lead technical ownership, design, develop and maintain backend C#/.NET solutions. Drive architecture, code quality, APIs and integrations, mentor developers, and support modernization and secure, scalable platforms.

Develop and maintain a modern digital platform using .NET and Angular. Build responsive UIs and robust backend services/APIs, participate in solution design and code reviews, troubleshoot and optimise systems, and collaborate with colleagues and stakeholders in an agile environment while contributing to testing and DevOps best practices.

Lead and deliver complex data and analytics digital transformation projects for a public sector client. Plan, manage scope, timelines, budgets and risks; coordinate stakeholders and suppliers; facilitate workshops and steering committees; ensure governance, reporting and communication; drive execution with quality and business value; support SAS-based solutions and data platform initiatives with significant onsite client presence.

Lead technical ownership and development of enterprise-scale public sector backend solutions using C#/.NET. Design and implement APIs and integrations, drive code quality through reviews and testing, mentor developers, contribute to architecture and planning, and support modernisation and maintainability within agile teams.

Design and drive architecture for complex, large-scale IT solutions in the public sector. Define non-functional requirements, ensure security and governance, advise stakeholders, support cross-team integrations, document solutions (using tools like Sparx EA), facilitate workshops, and promote reusable, scalable architectures that align with business priorities.

Lead development and maintenance of automated regression tests, improve test coverage and test architecture (POM), support CI/CD pipelines, collaborate with developers and stakeholders, contribute to planning, agile processes, Jira setup, and continuous improvement including AI-assisted testing.

Design, build, and operate production-grade ML platforms and end-to-end MLOps pipelines. Implement cloud and hybrid ML infrastructure, IaC, CI/CD for model lifecycle, containerisation, monitoring, and governance. Collaborate with data scientists and stakeholders to deploy, monitor, and maintain scalable, secure ML solutions in production.

Build, maintain and operate Kubernetes-based AI platforms and cloud-native infrastructure. Develop IaC, CI/CD and GitOps pipelines, support deployment of AI workloads, and ensure scalable, secure production environments while collaborating with development and platform teams.

Design, implement and maintain automated test suites (Playwright or similar) for web applications. Integrate tests into CI/CD pipelines, ensure end-to-end, integration and regression coverage, and collaborate with developers, architects and product teams to improve testing practices in agile delivery.