Top Engineering Jobs

Build scalable AML detection systems and controls for identifying money laundering and terrorist financing risks. Own large projects, technical roadmaps, and delivery while collaborating with engineers, product managers, data scientists, analysts, and AML experts. Design distributed, reliable, secure, observable services; influence product decisions; improve technical quality; and mentor engineers. The primary technology stack includes Java, Spring Boot, and Kafka, with distributed and data-intensive processing at scale.

Staff Backend Engineer responsible for designing and leading scalable Java and Spring Boot services powering global KYC and onboarding verification. The role drives architecture, reliability, automation, performance, and technical strategy; mentors engineers; builds internal agent tools; and partners with product and design. Responsibilities include distributed system design, technical initiative leadership, code reviews, and knowledge sharing. The position requires extensive Java experience, database expertise, strong system design, and security awareness, with financial or KYC experience preferred.

Leads the architecture, delivery, and operational excellence of a high-throughput Risk API and risk assessment platform. Responsibilities include defining API contracts and data schemas, establishing immutable risk evaluation ledgers, ensuring data quality and lineage, scaling the engineering team through hiring and mentorship, aligning Product and Financial Crime stakeholders, and maintaining high availability, low latency, auditability, and regulatory reporting capabilities.

Build and improve fraud prevention infrastructure for account integrity, including account takeover controls and crime detection systems. Develop backend and frontend capabilities, primarily backend, using Java and Spring. Design distributed and concurrent systems, operate CI/CD pipelines, optimize relational and non-relational databases, and apply test-driven development. Own projects independently, make data-driven product decisions, and collaborate with Product, Data Science, and Investigations teams.

Lead technical execution for Wise’s iOS spending and card products. Own initiatives from planning through launch and scaling, support core card flows across multiple product teams, write maintainable code, promote mobile best practices, and collaborate with backend, frontend, product, and globally distributed engineering teams.

Build and improve AML detection controls and supporting backend systems using Java, Spring Boot, and Kafka. Own medium-sized projects end to end, including design, implementation, deployment, testing, monitoring, and operational support. Collaborate with product managers, data scientists, analysts, and AML experts to identify financial crime risks, reduce false positives, and improve customer experiences through scalable, secure, reliable, data-informed systems.

Lead Wise’s AML engineering team responsible for money-laundering risk detection and alert creation. Set technical direction, own the roadmap, design scalable and reliable systems, and guide architectural decisions. Partner with product managers, data scientists, analysts, and AML experts to develop effective controls while reducing false positives. Mentor engineers, improve engineering standards, and balance operational reliability with long-term platform investments across products and regions.

Own the end-to-end testing and release strategy for People Technology initiatives. Lead SIT, UAT, regression, integration, and post-production validation; create test plans, cases, scripts, data, and traceability matrices; manage Jira defects; establish quality metrics and release gates; guide non-technical stakeholders; and collaborate with Workday consultants and technical teams across platforms including Workday, SmartRecruiters, and Absorb.

Build and maintain backend services for Wise’s Contacts team, powering recipient discovery, management, and customer interactions at large scale. Responsibilities include designing distributed systems, RESTful APIs, database schemas, and query optimization; deploying reliable services; writing testable code; and collaborating with product, design, and analytics teams using an agile, customer-focused approach.

Design, develop, test, and maintain Java and Kotlin backend services, REST APIs, payment orchestration systems, and event-driven financial platforms. Build scalable services on AWS, optimize PostgreSQL databases and SQL queries, and support card pay-in functionality. Collaborate cross-functionally, conduct code reviews, resolve performance issues, participate in on-call rotations, and ensure secure handling of financial data.