Staff Software Engineer (Identity & Risk Intelligence)

Join Adyen, a global payment company, as a Staff Software Engineer specializing in Identity & Risk Intelligence. In this role, you will design, build, and scale systems that leverage machine learning to combat financial crime and fraud. You will collaborate closely with product managers, data scientists, and business stakeholders, mentor junior engineers, and advocate for best practices in software engineering. This position offers a range of benefits, including a global exchange program, weekly happy hour, delicious healthy lunches, a phantom share package, a yearly trip to Amsterdam, paid holidays, and work from home opportunities.

• 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.
• Mentor and guide junior engineers and peers through technical leadership and knowledge sharing, advocating for best practices in software engineering.
• 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