Join us and get a once-in-a-lifetime opportunity to literally build a local banking champion!
Build critical banking systems. Lead the engineering. Stay close to the code.
We are looking for a Tech Lead to join our Payments and Cash Management Engineering area.
This role is for someone who likes complex backend systems, architecture, integrations, event-driven design and real engineering ownership. You will help modernize business-critical Cash Management capabilities used by corporate customers across the Baltics. We need a strong Engineer who can lead design, challenge solutions, support developers, work with stakeholders and vendors, and still go deep into code and implementation details when needed.
What You Will Build and Work With:
This role is for someone who can design the system, lead the team technically, challenge vendors and stakeholders, and still stay hands-on when needed.
- Design and build Java/Spring Boot back-end services for complex banking flows.
- Create REST API and event-driven integrations between internal banking platforms, data platforms and external systems.
- Work with Kafka for asynchronous events, data feeds and system-to-system communication.
- Design reliable flows around account lifecycle, payment initiation, routing, validation, balances, statements and customer-facing banking processes.
- Work with AWS, CI/CD pipelines, observability, monitoring and production-readiness topics.
- Use relational databases and make sure data consistency, auditability and recovery are properly designed.
- Support modernization of legacy capabilities into a more maintainable, cloud-ready engineering setup.
- Make technical decisions where correctness, security, resilience and operational stability matter.
How You Will Make an Impact:
- Lead technical design and implementation.
- Own architecture decisions together with architects and engineering teams.
- Guide developers through code reviews, design reviews and day-to-day engineering decisions.
- Drive good engineering practices: clean code, testability, monitoring, security and maintainability.
- Work directly with product owners, architects, developers, platform teams, business stakeholders and vendors.
- Help the team make practical trade-offs between business needs, delivery pressure, risk and long-term quality.
- Use AI tools pragmatically to improve engineering speed and quality.