Requirements

Hands-on experience building or making substantial contributions to large-scale distributed systems.
Strong backend engineering experience, including relational databases, event-driven systems, and proficiency in an object-oriented language.
A product mindset: ability to explain customer problems behind your work, why your solution matters, and how you assess its effectiveness.
Ability to take ownership with a high degree of autonomy, make progress through ambiguity, and involve others when their expertise is needed.
Strong collaboration and communication skills to explain technical decisions, work effectively across teams, and contribute to colleagues’ success.
Curiosity about the business domain and willingness to learn how partners use the products you build.

Nice to Haves

Experience with Java, Spring Boot, Kafka, or PostgreSQL.
Knowledge of payments, financial technology, funding, settlement, or foreign exchange.
Experience using product metrics and data to understand customer behaviour and guide decisions.

Design, develop, and maintain highly scalable services in Java and Spring Boot within a microservices architecture.
Apply domain-driven design to build robust, scalable solutions.
Lead development efforts in event-driven architectures using Kafka or similar messaging systems.
Architect, design, and optimise relational databases such as PostgreSQL to ensure performance and scalability.
Collaborate with cross-functional teams to support partner integrations and expand the Wise payment platform globally.
Participate in code reviews, champion best coding practices, and mentor junior engineers.
Own solutions from problem to production by working with product managers and engineers to understand partner needs, shape approaches, and operate backend services.
Make thoughtful technical decisions balancing delivery time, reliability, and maintainability, even with incomplete information.
Build across system boundaries by coordinating with other teams to agree on interfaces and understanding system-wide effects.
Improve systems through strengthened testing, observability, and diagnosing production issues to enhance service dependability.
Help the team succeed by contributing across workstreams, sharing domain knowledge, and mentoring fellow engineers.