Senior Java Engineer

GFT Poland is involved in a large-scale transformation programme focused on building and integrating a global collateral and facility management platform using modern engineering practices and AI-enabled software delivery.

• Around 6 years of professional software engineering experience
• Strong hands-on experience with Java and Spring Boot microservices
• Solid experience with Oracle and PostgreSQL relational databases
• Experience with schema design, performance optimization, and transactional systems
• Strong unit and integration testing skills using JUnit, Mockito, Testcontainers, or similar tools
• Experience with API design, REST services, and integration patterns
• Knowledge of CI/CD pipelines and quality assurance practices
• Experience with Jenkins, GitLab, SonarQube, SAST, DAST, or dependency scanning tools
• Hands-on experience with Google Cloud Platform (GCP)
• Strong understanding of software design principles and engineering trade-offs
• Exposure to Generative AI (GenAI) concepts, large language models (LLMs), and AI-assisted software development
• Knowledge of retrieval-augmented generation (RAG) or agent-based architectures and associated governance considerations

• Design, develop, and enhance production-grade Java microservices and backend solutions
• Build and maintain integrations using REST APIs and event-driven architectures
• Collaborate with architects and technical leads on solution design and implementation decisions
• Create and execute unit, integration, and automated tests using JUnit and related tools
• Contribute to CI/CD pipelines, quality gates, and release processes using Jenkins and GitLab
• Optimize application performance, reliability, and scalability
• Support cloud-based deployments and platform improvements on Google Cloud Platform (GCP)
• Participate in code reviews and engineering best practices initiatives
• Work closely with cross-functional teams to deliver features aligned with business objectives
• Ensure compliance with security, governance, and operational standards

Nice to have:

• Experience delivering solutions within regulated financial services environments
• Knowledge of containerization and Kubernetes
• Experience with service mesh technologies
• Experience with observability and monitoring platforms
• Performance engineering and resilience testing experience
• Experience implementing AI-enabled software development lifecycle (SDLC) practices
• Hands-on experience with GenAI prototyping and integration
• Knowledge of evaluation frameworks, prompt management, and version control for AI solutions