Backend Engineer – Contacts Team

Overview

In this role you will help build the backend that powers how Wise customers interact with recipients, supporting a scalable platform with secure accounts and local integrations. You will work in an autonomous, cross-functional team to enable reliable, high‑quality recipient management experiences. Expect to tackle growth, performance, and reliability challenges in a mission‑critical fintech environment. This is a chance to shape how users discover and interact with counterparties at scale.

Pay / Benefits

• Starting salary: 68,000 – 87,500 + RSUs
• Wise Benefits
• DEI initiatives
• Inclusive, international team
• Career progression opportunities
• Flexible work options (implicit in tech culture)

Responsibilities

• Build and maintain backend solutions powering recipient interactions
• Develop scalable platform components ensuring high availability for mission-critical services
• Collaborate with designers, product managers, and analysts in agile sprints
• Integrate search algorithms and local integrations (e.g., Pix) to improve discovery
• Design, deploy, and maintain clean RESTful APIs
• Apply best coding practices, code reviews, and testable code (TDD)
• Focus on customer experience and data-driven decisions to reduce user pain-points
• Support and improve services to prevent downtime and outages

Key requirements

• Experience with large-scale distributed systems
• Strong experience with Java or a similar object-oriented language
• Experience with relational and non-relational databases, query optimization, and schema design
• Product mindset with emphasis on customer experience and data-driven decisions
• Collaborative mindset and ability to work with cross-functional teams
• Experience designing, deploying, and maintaining RESTful APIs
• Belief in best coding practices, code reviews, and open feedback
• Experience or familiarity with Test Driven Development

• Collaborative
• Customer-focused
• Data-driven decision making
• Java or similar OO language
• RESTful API design and deployment
• Databases (relational and non-relational) and query optimization

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