Java AI Lead

Key Responsibilities:

Hands-on Software Engineering • Design, develop, test and maintain enterprise-grade applications using Java, J2EE, Spring Boot and related frameworks. • Build secure, scalable and resilient microservices, REST APIs and event-driven components. • Apply clean-code, SOLID, domain-driven design and twelve-factor application principles. • Produce maintainable, testable and production-ready code with appropriate technical documentation. • Perform code reviews, troubleshoot complex issues, optimise performance and reduce technical debt. Modernisation Delivery • Analyse and reverse engineer legacy applications, interfaces, data flows and business rules. • Translate legacy functionality into modern service boundaries, APIs and cloud-native implementation patterns. • Contribute to solution design, decomposition, dependency analysis, migration planning and cutover readiness. • Create reusable engineering accelerators, templates and reference implementations for modernisation squads. GCP and GKE Engineering • Develop, containerise and deploy workloads on Google Kubernetes Engine within Google Cloud Platform. • Work with Docker, Kubernetes manifests or Helm, configuration management, secrets, service accounts, ingress and workload identity. • Contribute to CI/CD pipelines, automated quality gates, observability, logging, monitoring and production support. • Engineer for reliability, scalability, fault tolerance, cost awareness and operational supportability. Security, Risk and Compliance • Apply secure-by-design and privacy-by-design practices throughout the software development lifecycle. • Follow OWASP guidance, secure coding standards, least-privilege access, secrets management, encryption and API security practices. • Remediate vulnerabilities identified through SAST, DAST, software composition analysis, container scanning and penetration testing.