We are currently supporting a product-focused organisation that is investing heavily in modern software engineering practices, including AI-assisted development and spec-driven engineering.
They're looking for a Full Stack Software Engineer to join a highly collaborative team where engineers are encouraged to influence technical decisions, contribute to architecture discussions, and help shape how software is built. This is an environment where engineering judgement is valued, ownership is encouraged, and teams are focused on delivering meaningful outcomes rather than simply completing tasks.
This role would suit an engineer who enjoys working across the full software development lifecycle, with a particular focus on backend engineering while contributing across the wider technology stack.
What we're looking for
Strong Java development experience, with a proven track record of building backend services and APIs
Experience delivering solutions across both backend and frontend technologies, with an understanding of how systems fit together end-to-end
A quality-first approach to software engineering, including automated testing, code reviews and maintainable design principles
Strong communication and collaboration skills, with the ability to work effectively across engineering, product and delivery teams
Experience influencing technical decisions and contributing to engineering best practice
Exposure to modern frontend technologies such as React, Angular or Vue
Experience working with cloud platforms, CI/CD pipelines and modern software delivery practices
Exposure to distributed systems, microservices or event-driven architectures
Experience mentoring, coaching or supporting the development of other engineers
Practical experience with AI-assisted development tools such as GitHub Copilot, Cursor or similar technologies.
What you'll be doing
Designing, building, testing and delivering software solutions from concept through to production
Developing backend services and APIs with a strong focus on quality and maintainability
Contributing to architectural discussions and technical decision-making
Working closely with Product, QA and Design teams to solve real customer problems
Using AI-assisted development tools such as GitHub Copilot alongside modern engineering practices to support the delivery of high-quality software
Driving engineering excellence through testing, code reviews and continuous improvement
Supporting and mentoring other engineers through collaboration and knowledge sharing
Additional Information
Immediate availability or up to 2 weeks' notice preferred
Hybrid working model (Leeds office every Tuesday and Thursday)
Initial contract running until December 2026 with potential for extension
Two-stage interview process
If you're interested in working within a modern engineering environment that is actively embracing AI-enabled development practices, I'd be happy to arrange a confidential conversation
