Accepting applications until: 3 July 2026 Job Description Your Role: Java Developer The Commercial Technology team develops and maintains the products that drive Global’s commercial revenues across both Radio and Outdoor. As a Java Developer at Global, you’ll work across a suite of Java 17 (mostly Java 21) and Spring Boot microservices, some of which are event-driven. You’ll contribute across the full technical lifecycle, from CI/CD pipelines and infrastructure to production monitoring, using modern AI tools as part of your daily workflow to deliver high-quality, reliable software. As a Java Developer at Global, you will: Key Responsibilities Feature Development & Platform Evolution (40%) : Develop new features for the business and enhance the platform architecture to support future roadmap initiatives. Collaboration & Delivery (40%) : Work closely with other developers, software architects and product owners to understand requirements, shape implementation approaches and ensure smooth integration of microservices and components. Operations, AI & Continuous Improvement (20%) : Contribute to CI/CD pipelines (Jenkins/Terraform), run services in Kubernetes (EKS on AWS), and support monitoring/alerting (Prometheus/Grafana). Use AI coding tools to accelerate delivery while maintaining rigorous code quality through reviews and strong engineering judgement. What You’ll Love About This Role Think Big : Work on systems that power Global’s commercial success, using modern architectures, cloud platforms and AI tools. Own It : Take responsibility for services end-to-end, from design through to production support and continuous improvement. Keep it Simple : Design and build solutions that are clear, maintainable and easy to operate in production. Better Together : Be part of a friendly, close-knit, highly collaborative agile team that values learning, pairing and collective problem-solving. What Success Looks Like In your first few months, you’ll have: Demonstrated effective use of AI coding tools while maintaining high code quality standards. Participated in code reviews that evaluate both human-written and AI-generated code for production readiness. Contributed to team AI practices such as prompt libraries, quality standards and best-practice documentation. Built a strong understanding of the business context and how it relates to the team’s deliverables. Gained a solid overview of the team’s system architecture and how your services fit within it. What You’ll Need Java Expertise : Strong experience with Java 17/21, Spring Boot, and both RDBMS and NoSQL persistence technologies. Openness to learning additional languages used across the team. AI-Native Development : Experience using AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor or similar) and the ability to review and refine AI-generated code to production quality. Engineering Judgement : The ability to balance speed with technical quality, deciding when to leverage AI tools versus hands-on implementation. System & Event Architecture : Exposure to event-driven and publish–subscribe technologies such as Kafka, RabbitMQ or SNS/SQS. Testing Skills : Experience writing well-tested code and contributing to robust automated test suites. Collaboration & Communication : Comfortable working closely with cross-functional colleagues in an agile environment, sharing ideas and giving/receiving feedback.