Full-Stack Software Engineer

The Opportunity Are you an engineer who doesn't just write code - but thinks with AI at your side? At Accenture Technology, we're looking for curious, ambitious Software Engineers who are already using AI-enabled tooling to move faster, build smarter, and deliver more. This isn't a role where AI adoption is a future aspiration - it's the way we work today. You'll be embedded in real client engagements across our practice - building next-generation applications where AI accelerates everything from design and development to testing and deployment. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, you'll work on challenges that are genuinely complex - and you won't face them alone. You'll be surrounded by a team of talented, passionate engineers who share knowledge openly, lift each other up, and are as invested in your growth as they are in delivering great work. This role sits within our Health and Public Service practice, giving you the opportunity to deliver technology solutions that serve communities and make a real societal impact. What You'll Do We believe the best engineers own their work end-to-end - from the first line of code to live production. Here's how that breaks down: Build Collaborate with business stakeholders to shape requirements and translate them into clean, well-designed technical solutions Deliver production-grade Java applications using AI-assisted development practices (e.g. GitHub Copilot, Claude Code, or equivalent) Build prototypes and integrations across large complex enterprise systems Contribute to prompt engineering and AI workflow design as part of your standard delivery practice Own Take accountability for live application health - leading incident response, root cause analysis, and rapid resolution Use AI-assisted diagnostics to identify issues faster and implement robust, versioned fixes Handle JSON/XML message manipulation and database-level troubleshooting with confidence Evolve Continuously improve the systems you work on - reducing technical debt, improving resilience, and raising the bar on code quality Apply AI-enabled tooling to refactoring, test coverage, and monitoring Stay ahead of emerging engineering practices and bring new ideas into the team Core Requirements What We're Looking For BSc in Computer Science, Software Engineering, or equivalent experience 4 - 6 years' commercial experience across the full development lifecycle (design, build, test, deploy, support) Strong Core Java development skills; experience with Spring (Boot, MVC, REST) and API Design Strong front-end development skills; experience with Angular, HTML, CSS, Javascript Experience with SQL and/or NoSQL databases; familiarity with Hibernate Comfortable working in Agile/Scrum environments using GIT and JIRA Active user of AI-enabled development tooling (e.g. GitHub Copilot, Claude, or similar) Strong analytical and problem-solving mindset; comfortable with ambiguity Clear communicator; written and verbal, with a genuine team-player attitude AI-Enabled Skills Using AI coding assistants (GitHub Copilot, Claude etc.) in day-to-day development Prompt engineering basics applied to a software development context Agentic workflows, AI-assisted debugging, or AI-enabled CI/CD Demonstrable impact - candidates should be able to show how these tools improved their work, not just list them Desirable Familiarity with JSP, Kafka, Spring Batch, or event-driven architectures Knowledge of DevSecOps or SRE practices, particularly where AI tooling has been applied What Sets You Apart We're especially interested in engineers who can point to specific examples of how AI tooling has changed the way they work - faster delivery, better test coverage, smarter debugging, cleaner architecture. You don't need to be an AI researcher; you need to be an engineer who has genuinely leaned in.