Java Developer

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.