Software Engineer

Role: Software Engineer

Location: Milton Keynes, England, United Kingdom -(Hybrid – occasional travel not compulsory)

Employment type: Full Time

As a Software Engineer, you will take ownership of the architecture, development and continuous improvement of our growing portfolio of Azure-native web applications. You will be adept working across the full development stack, from crafting high-performance, intuitive web front-ends to designing robust APIs and scalable service and data layers and bringing deep expertise across a broad range of cloud services. You will have a strong command of modern .NET engineering practices, including test driven development, and apply unit testing effectively to produce code that is clean, performant and maintainable. You will also have hands-on experience of modern software delivery practises using infrastructure as code. This role is ideal for someone who thrives working on complex, ambiguous problems and has the technical depth to make architecture and design decisions that deliver real competitive advantage for the business. The ideal candidate will have a proven track record of applying industry best practices in their daily workflow, including AI-assisted development tooling, automated testing, infrastructure as code, security-by-design, and CI/CD, and will actively raise the technical level of the team around them.

KEY RESPONSIBILITIES

Architect, develop and maintain .NET applications on Azure, making meaningful decisions about structure, performance and scalability.

• Own the development tickets you work on, proactively resolving unclear or ambiguous requirements by engaging with stakeholders.

• Drive new product development from concept to production, contributing to technical direction and not just implementation

• Raise the quality bar on existing applications, identifying and resolving performance bottlenecks, reliability risks and technical debt

• Write clean, secure, production-ready code that serves as a benchmark for the team, applying modern engineering best practices as a routine part of your workflow

• Champion the use of automated, deterministic testing with meaningful assertions, fully integrated into CI pipelines (GitHub Actions / Azure DevOps)

• Design and build systems capable of operating at scale, applying hyperscale architecture patterns, multi-threading strategies and load balancing techniques where appropriate

• Implement and evolve infrastructure-as-code solutions using Bicep and YAML, treating infrastructure with the same rigour as application code

• Engage actively in technical discussions and code reviews, helping the team converge on the best solution by contributing ideas with confidence while recognizing and building on the good idea of other team members.

• Collaborate with product, design and business stakeholders to translate complex requirements into elegant, well-architected solutions.

KEY SKILLS AND EXPERIENCE

• 3+ years of commercial full stack development experience, with a portfolio or track record that demonstrates genuine technical depth

• Expert-level proficiency in C# and .NET 6+, with a strong working knowledge of JavaScript, HTML and CSS • Strong command of MSSQL, including complex query writing, query optimization and schema design for production systems

• Hands-on experience with Azure cloud services (App Services, Service Bus, Storage, Function Apps, or similar) and a solid understanding of cloud-native design principles

• Demonstrable application of SOLID principles, design patterns and modern coding standards in production codebases

• Proven ability to write effective, isolated unit tests and practise test-driven development as a core part of the development workflow

• Experience working within a structured engineering environment working with pull requests, feature branching, code reviews and agile development processes.

• Solid Git-based workflow experience and hands-on CI/CD pipeline work (GitHub Actions and/or Azure DevOps)

• Exceptional analytical and problem-solving ability, comfortable navigating ambiguity and making sound technical decisions with incomplete information