Staff Software Engineer - Merchant Fraud Prevention

Adyen·Amsterdamsenior

En corto

→Ingeniero de software principal que dirige la arquitectura técnica de sistemas antifraude a gran escala.
→Día a día: diseñar sistemas distribuidos, liderar equipos, alinear estrategia con operaciones de fraude y mentores a ingenieros senior.
→Lo destacado: eres el arquitecto clave que define la visión a largo plazo de fraude para múltiples equipos de ingeniería.

Proficiency in English required

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¿Qué piden?

✓Experiencia comprobada en estrategia técnica y liderazgo sin autoridad jerárquica.
✓Dominio de sistemas distribuidos a gran escala, con enfoque en rendimiento y fiabilidad.
✓Experiencia arquitectónica en entornos de ML: pipelines de inferencia en tiempo real, almacenes de características.
✓Capacidad para alinear estrategia técnica con objetivos de negocio y operaciones de fraude.
✓Capacidad demostrada de mentorear y desarrollar ingenieros senior.
✓Colaboración estrecha con equipos de Ciencia de Datos y ML Engineering.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

JavaDistributed SystemsReal-time ProcessingMachine LearningFeature StoresModel ServingBig Data PipelinesML InfrastructureLow-latency SystemsHigh-throughput Systems

¿A quién escribirle en Adyen?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Staff Java Engineer - Merchant Fraud Prevention 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 Who You Are: • 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

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