Senior Java Engineer with GCP / GenAI

Antal is recruiting for a strategic global banking programme focused on building next-generation Collateral & Facility Management capabilities. The project involves developing an in-house enterprise platform to replace an existing commercial solution, leveraging modern engineering practices and an AI-enabled Software Development Lifecycle (SDLC).

• Strong hands-on experience with Java and Spring Boot in enterprise-scale environments.
• Experience building and maintaining production-grade microservices and distributed systems.
• Solid experience with relational databases (Oracle and/or PostgreSQL), including schema design, performance optimization, and transactional integrity.
• Strong testing background, including JUnit, Mockito, Testcontainers, API testing, and contract testing.
• Practical experience with CI/CD pipelines, quality gates, and code quality tools (e.g., Jenkins, GitLab, SonarQube, SAST/DAST).
• Good understanding of API design, RESTful services, messaging, and event-driven architectures.
• Experience contributing to technical design decisions and balancing business requirements with engineering best practices.
• Hands-on experience working with Google Cloud Platform (GCP).
• Understanding of secure software development practices and operational readiness requirements.
• Practical exposure to GenAI tools and concepts, including LLMs and AI-assisted software development workflows.
• Strong communication skills and ability to work effectively within international, cross-functional teams.

• Design, develop, test, and maintain enterprise-grade Java microservices and backend components.
• Contribute to solution architecture and integration design, ensuring alignment with target architecture and non-functional requirements.
• Deliver high-quality production code with a strong focus on security, resilience, maintainability, and performance.
• Build and support distributed services running in cloud environments.
• Develop robust automated testing strategies, including unit, integration, and contract testing.
• Participate in technical design reviews, code reviews, and security reviews, ensuring engineering quality standards are met.
• Collaborate with architects, Tech Leads, QA, SRE, platform teams, and business stakeholders to deliver integrated solutions.
• Support CI/CD processes, quality gates, and release management activities.
• Apply AI-assisted development tools and GenAI techniques responsibly to accelerate software delivery while maintaining governance, traceability, and security standards.
• Contribute to AI-enabled engineering practices, including LLM-assisted development, RAG concepts, and agent-based automation patterns.
• Promote engineering excellence, continuous improvement, and knowledge sharing across teams.