Staff Java Engineer - Merchant Fraud Prevention

AdyenAmsterdamHybridFull-time10 Sept 2026

Adyen is seeking a Staff Java Engineer for its Merchant Fraud Prevention group in Amsterdam. The role involves defining the long-term technical vision across 2-3 engineering teams, architecting high-throughput distributed systems, and partnering with Data Science, ML Engineering, and Fraud Operations. Candidates need deep distributed systems expertise, ML systems experience, and a track record of technical leadership.

What you'll do

Own the multi-year technical north star vision for the group, together with the technical leads of each team in the group
Design and evolve high-throughput, low-latency distributed systems capable of processing real-time merchant transactions, integrating complex machine learning models, and handling massive big data pipelines
Partner closely with the Director of Engineering to assess organizational health, surface systemic engineering bottlenecks, and align long-term technical investments with Merchant protection goals
Shape the strategic roadmap alongside the Director of Engineering, fellow Staff Engineers, and Product leadership
Establish consistent architectural patterns, engineering practices, and quality bars across 3 fraud-focused teams
Bring clarity to ambiguity as new fraud vectors and product requirements emerge
Sponsor and mentor senior engineers, build clear growth paths, model high engineering standards, and foster a culture of engineering excellence and psychological safety
Partner with Data Science and ML Engineering so infrastructure supports fast model deployment, feature stores, and real-time inference, without compromising latency or reliability
Work closely with Fraud Operations to translate emerging fraud patterns and investigative findings into platform and tooling requirements
Ensure engineering systems give Fraud Ops the visibility, control, and response speed they need to act on evolving threats

What you need

Must-have

JavaDistributed SystemsMachine LearningFeature StoresReal-time InferenceModel ServingBig Data PipelinesSecurity-by-designRegulated Data Handling

Nice-to-have

LLMsRAGEvalsPolicy Enforcement

Soft skills

Technical LeadershipCommunicationMentorshipRelationship BuildingProactiveCollaborationClarity through ambiguity

JavaFraud PreventionDistributed SystemsMachine LearningFintechStaff EngineerAmsterdamHybrid

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