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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Merchant Fraud Prevention - **Company:** Adyen N.V. - **Location:** Amsterdam, Netherlands - **Contract:** Permanent contract - **Skills:** Systems Engineering, Architectural Patterns, Big Data, Data Infrastructure, Data Security, Distributed Systems, Fraud Prevention and Detection, Machine Learning, Data Processing, Large Language Models, Machine Learning Operations - **Published:** September 12, 2026 - **Apply:** https://startup.jobs/staff-software-engineer-merchant-fraud-prevention-adyen-9678574 ## About the Role * Technical leader: A track record of setting technical strategy through architectural judgment and clear communication via influence, not organizational authority. * Distributed Systems Expertise: Deep experience designing and operating large-scale, production-grade distributed systems with a focus on reliability, performance, and resilience. * ML Systems Experience: Comfortable architecting the infrastructure layer around ML workloads (e.g., feature stores, real-time inference pipelines, model serving) even without being an ML practitioner yourself; strong appetite for close, ongoing collaboration with Data Science/ML Engineering. * Operationally Minded: Experience partnering with operational teams (e.g., Fraud Ops, Compliance) to turn real-world investigative signals into scalable engineering solutions; basic familiarity with security-by-design and regulated data handling is a plus. * Proactive relationship-builder: led partnerships across SWE, MLE, Product, Operations, and Compliance to align technical direction, drive clarity through ambiguity, and balance immediate product needs with long-term platform investments. * Applied ML/AI Experience (nice to have): You have experience in building production-grade interfaces powered by LLMs, including harnesses, policy enforcement, evals, RAG architectures and secure data handling. ## Description As a Staff Software Engineer in the Merchant Fraud Prevention group, you will serve as the core architect and strategic engineering partner for our fraud detection and mitigation ecosystems. You will define the long-term technical vision across 2-3 engineering teams, ensuring our Platforms can detect and prevent evolving fraud vectors at scale. Beyond technical leadership, you will be a key force multiplier, acting as a strategic advisor to engineering leadership, bridging the gap between business strategy and execution, and actively mentoring and growing our senior Individual Contributors (ICs). What you'll do * Technical Strategic & Architecture: 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. * Leadership Partnership: 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. * Product Strategy: Shape the strategic roadmap alongside the Director of Engineering, fellow Staff Engineers, and Product leadership. * Cross-Team Alignment: 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. * Talent Multiplier & Mentorship: Sponsor and mentor senior engineers, build clear growth paths, model high engineering standards, and foster a culture of engineering excellence and psychological safety. * ML & Data Infrastructure Evolution: Partner with Data Science and ML Engineering so infrastructure supports fast model deployment, feature stores, and real-time inference, without compromising latency or reliability. * Fraud Ops Collaboration: 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Unleashing the power of AI to prevent financial crime](https://www.wearedevelopers.com/videos/1088-unleashing-the-power-of-ai-to-prevent-financial-crime) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Find Tech Jobs in Amsterdam](https://www.wearedevelopers.com/magazine/279-how-to-find-tech-jobs-in-amsterdam) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [How to land a developer job in Amsterdam](https://www.wearedevelopers.com/magazine/36-how-to-land-a-developer-job-in-amsterdam) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023)