Java Tech Lead

Our client is an international financial technology company building solutions that support transaction communication, balances visibility, reporting, and integrations across multiple banking systems.

• 7+ years of experience in backend or fullstack software development.
• Strong expertise in Java and Spring Boot, including designing modular backend services and REST APIs.
• Experience acting as a Tech Lead or technical owner responsible for architectural decisions.
• Solid experience designing scalable APIs and distributed systems.
• Strong understanding of data modeling in relational databases (e.g., PostgreSQL) and designing efficient query patterns.
• Practical experience with Elasticsearch (or similar search/indexing technologies) for filtering, search, and aggregation over large datasets.
• Experience designing hybrid data architectures combining multiple data sources.
• Experience working with external system integrations, including REST or GraphQL APIs.
• Familiarity with containerized environments (Docker, Kubernetes) and modern CI/CD pipelines.
• Understanding of security patterns in enterprise systems (OAuth2, OIDC, authentication and authorization flows).
• Working knowledge of React and TypeScript, enabling effective collaboration with frontend teams.
• Proven ability to break down complex architectural changes into manageable development phases.
• Experience using AI-assisted development tools (e.g., Cursor, Claude Code, or similar agentic coding tools) and openness to experimenting with AI-driven approaches to improve development efficiency and engineering workflows.
• Ability to combine hands-on engineering with technical leadership and mentoring.

• Lead the design and development of backend services for a core platform rewrite.
• Design scalable services responsible for transactions, balances, statements, and reporting data.
• Define API contracts and integration patterns between backend services, frontend applications, and external enterprise systems.
• Make key decisions around data modeling, search/indexing strategies, and performance optimization for million-row datasets with complex filtering, sorting, and pagination.
• Support frontend teams by ensuring API-first design and smooth integration with React applications.
• Ensure engineering quality through code reviews, architecture discussions, and mentoring other developers.
• Collaborate closely with product, frontend, and platform teams to deliver robust, production-ready systems.