Staff Software Engineer (Identity & Risk Intelligence)

• In this role, you will play a critical part in designing, building, and scaling systems that leverage ML to solve real-world business challenges
• Adyen is building out its capabilities in data-driven risk management to combat financial crime and fraud across its platform
• We operate at a massive global scale, enabling businesses around the world to accept payments, issue cards, and embed financial products, helping millions of business owners around the globe do business with less friction
• While we have foundational elements in place, we have recently shifted our strategy to take a more holistic approach to proactively detect and mitigate financial crime and fraud
• Design and develop robust, scalable software systems that integrate Machine Learning models into production environments
• Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and translate them into technical solutions
• Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges
• Mentor and guide junior engineers and peers through technical leadership and knowledge sharing
• Advocate for best practices in software engineering, and system architecture
• Continuously learn and stay up-to-date with advancements in software engineering, infrastructure, and AI technologies
• Lead technical design discussions and contribute to the strategic direction of the technology roadmap
• Close cross functional collaboration with different, non-technical functions like Account Management, Compliance, Operations etc

Benefits

• Global exchange program
• Weekly happy hour
• Delicious healthy lunches
• Phantom share package
• Yearly trip to Amsterdam
• Paid holidays
• Work from home opportunities- We are seeking a highly skilled and enthusiastic Staff Software Engineer with a strong background in building reliable, scalable, and low latency systems and hands-on experience in Machine Learning (ML) applications
• You are someone who is curious about new technologies, eager to learn, and passionate about using technology as a practical tool to drive meaningful business impact
• You enjoy solving complex problems and thrive in environments where innovation, continuous learning, and collaboration are key
• Deep curiosity and drive to continually learn new technologies and techniques
• Passion for applying technology to solve real business problems in a pragmatic and impactful way
• Experience with building scalable, reliable, and low latency systems
• Experience working with and using SQL and NoSQL databases like Postgres and Cassandra
• Familiarity with data engineering concepts, big data tools (like Spark), and distributed data architectures
• Experience in incident management
• Strong programming skills in Java. (Python is a plus)
• A good product sense and the ability to understand how research can translate into valuable applications
• At least 10-12 years of extensive industry hands-on experience in Software Engineering and building data intensive applications, including system design, architecture, and development
• Knowledge of streaming & queuing frameworks
• Excellent communication skills and a collaborative mindset