Staff Java Engineer - Merchant Fraud Prevention

Навыки

• Big Data
• Распределённые системы
• Java
• Лидерство
• Machine Learning
• RAG
• Роадмап

О компании и продукте

• 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

Задачи

• 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
• 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
• 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)

Требования

• 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
• Our Diversity, Equity and Inclusion commitments
• Our unique approach is a product of our diverse perspectives
• This diversity of backgrounds and cultures is essential in helping us maintain our momentum
• Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours
• No matter who you are or where you’re from, we welcome you to be your true self at Adyen
• Does this sound like you?
• If so, Adyen encourages you to reconsider and apply
• We look forward to your application!
• What’s next?
• Ensuring a smooth and enjoyable candidate experience is critical for us
• We aim to get back to you regarding your application within 5 business days
• Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role
• Learn more about our hiring process here
• Don’t be afraid to let us know if you need more flexibility
• This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration
• we do not offer remote-only roles

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