Design, develop, and maintain web-based applications and services, ensuring robust, efficient, and scalable performance.
Write clean, well-tested, and well-documented code that meets Bright’s engineering standards.
Collaborate with product managers, engineers, QA, and other stakeholders to translate business requirements into technical solutions.
Work with the team to troubleshoot and resolve technical issues promptly and effectively.
Configure and maintain automated tests and CI/CD pipelines to support reliable and efficient software delivery.
Identify and act on opportunities to improve development practices, tools, code health, and maintainability in collaboration with the wider engineering community.
Stay current with industry trends, emerging technologies, and best practices in software engineering.
Foster a collaborative environment by working closely within cross-functional teams to ensure high-quality software delivery.
Engage with AI tooling and productivity features as part of your day-to-day workflow, using tools such as GitHub Copilot or similar to enhance development efficiency and code quality.

Commercial experience developing web-based applications with C# and .NET.
Experience with relational databases, including writing and optimising SQL queries.
Familiarity with cloud platforms, particularly Microsoft Azure.
Experience working in a fast-moving Agile environment.
Familiarity with CI/CD practices and tools.
Self-driven with a genuine interest in growing your skills and knowledge.
Strong communication and collaboration skills, with the ability to work effectively across teams.
Experience building web front ends using JavaScript and modern frameworks such as React or Blazor.
Familiarity with unit testing or test-driven development (TDD).
Experience with containerisation technologies such as Docker or Kubernetes.
Understanding of SOLID principles and software design patterns (MVVM, MVC, microservices).
Knowledge of RESTful API design and development.
Comfortable using AI-assisted development tools such as GitHub Copilot or similar to support coding, code review, and documentation tasks.
An awareness of how large language models (LLMs) and AI-powered features are being applied in software products.
A willingness to engage with and learn about AI capabilities as part of your ongoing professional development.
An interest in how AI can be used to improve development workflows, reduce toil, and support higher-quality output.

Software Engineer – Maternity Cover

Key skills