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 principal 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 core 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
- Strategic Architecture & Technical Direction: Own the multi-year technical roadmap for 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 (The Right Hand): Partner closely with the Group Engineering Director/Manager to evaluate organizational health, identify systematic engineering bottlenecks, and align technical investments directly with merchant protection goals.
- Product Strategy: Proactively shape the strategic roadmap in partnership with the Director of Engineering, other Staff Engineers, and Product teams.
- Cross-Team Alignment: Standardize engineering practices, architectural patterns, and quality bars across 2–3 distinct fraud-focused teams. Drive clarity out of ambiguity when new fraud vectors or product requirements emerge.
- Talent Multiplier & Mentorship: Actively sponsor and mentor senior engineers within the group. Design paths for their growth, model what world-class engineering looks like, and cultivate a culture of rigorous peer review and psychological safety.
- ML & Data Infrastructure Evolution: Collaborate with Data Science and ML Engineering to ensure our infrastructure seamlessly supports rapid model deployment, feature stores, and real-time inference without compromising transaction speed or system reliability.
Who You Are:
- Technical leader: track record of defining long-term technical strategy through strong architectural thinking, sound technical judgment, and excellent communication rather than organizational authority.
- Systems Architect: You have extensive experience designing and operating large-scale distributed systems that prioritize reliability, performance, and resilience in production environments.
- Compliance Minded: You have a deep understanding of security-by-design, specifically as it relates to KYC, identity verification, and regulated data handling.
- Proactive relationship-builder: led partnerships across Engineering, Product, Compliance, and ML Engineering to align technical direction, drive clarity through ambiguity, and balance immediate product needs with long-term platform investments.
- Applied AI Experience: 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.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. 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.
Skills Required
- Proven track record defining long-term technical strategy and multi-year roadmaps
- Extensive experience designing and operating large-scale distributed systems prioritizing reliability and low latency
- Experience integrating machine learning models and maintaining big data pipelines and real-time inference
- Hands-on experience building production-grade LLM interfaces, including RAG architectures, evals, harnesses, and policy enforcement
- Deep understanding of security-by-design, regulated data handling, KYC, and identity verification
- Proven ability to mentor and grow senior individual contributors and drive cross-team alignment
- Experience partnering with Data Science and ML Engineering on feature stores, model deployment, and inference infrastructure
- Ability to work onsite in Amsterdam (office-first, not remote-only)
What We Do
Adyen (ADYEN:AMS) is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution, Adyen helps businesses achieve their ambitions faster. With offices around the world, Adyen works with the likes of Meta, Uber, H&M, eBay, and Microsoft.
Why Work With Us
At Adyen, everything we do is engineered for ambition. We started with payments, at a time when providers offered services based on a patchwork of systems built on outdated infrastructure. Ambition demanded more. So we set off to build a financial technology platform for the modern era, entirely in-house, from the ground up.
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Adyen Teams
Adyen Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We believe that in-person collaboration is the best route to building genuine connection. We’re an office-first company that offers flexibility when needed. We trust our team to act with autonomy and make good choices.





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