Full Stack Developer

Full Stack Developer | Java, React, AI-Assisted Development

Up to £77 per hour (Inside IR35) 40-hour working week

Manchester - 2 days per week in the office, remote working otherwise

Initial 6-month contract

Digital Skills are looking for an experienced Full Stack Engineer to join a high-profile digital product team delivering customer-facing experiences at global scale. Working within a modern cloud-native environment, you'll help build innovative search and engagement capabilities that enhance how millions of users interact with leading digital platforms.

This is an opportunity to work at the forefront of AI-assisted software engineering, combining hands-on development across Front End and Back End technologies with the latest AI-driven development tools and methodologies.

• Developing and enhancing customer-facing web applications and services.
• Building modern Front End solutions using React, Type Script and micro Front End architectures.
• Designing and developing Back End services using Java and cloud-native technologies.
• Working closely with Product, UX and Engineering teams to translate requirements into high-quality solutions.
• Leveraging AI-assisted development tools to accelerate delivery while maintaining code quality and reliability.
• Contributing to API development, integrations and scalable platform services.
• Supporting performance, monitoring, testing and continuous improvement initiatives.
• Participating in Agile ceremonies and collaborating across multiple engineering teams.

• Strong commercial experience as a Full Stack Engineer.
• Excellent Java development experience, including modern web services and APIs.
• Strong Front End expertise with JavaScript/Type Script and React.
• Experience working with Micro Frontends (MFE) and Backend-for-Frontend (BFF) architectures.
• Proven experience with AWS and cloud-based deployment environments.
• Knowledge of RESTful APIs and scalable distributed systems.
• Experience with Git, automated testing and modern software engineering best practices.
• Strong stakeholder engagement and collaborative working skills.

• Experience with Agentic AI, AI-powered development tools, or AI-enabled product features.
• Exposure to Kubernetes, Docker and CI/CD tooling.
• Understanding of monitoring, observability, SLIs and SLOs.
• Experience working on large-scale consumer-facing platforms.
• Knowledge of experimentation, analytics and A/B testing environments.