Staff Software Engineer - Identity & Risk Intelligence

<h2><strong>This is Adyen</strong></h2> <p>Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a single solution for global customers like Meta, Uber, and H&M. At Adyen, everything we do is engineered for ambition. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster.</p> <h3><strong>About the Role </strong></h3> <p>We are seeking a highly skilled and enthusiastic <strong>Staff Software Engineer</strong> with a strong background in building <strong>reliable</strong>, <strong>scalable</strong>, and <strong>low latency</strong> systems and hands-on experience in <strong>Machine Learning (ML) applications</strong>. In this role, you will play a critical part in designing, building, and scaling systems that leverage ML to solve real-world business challenges.</p> <p>You are someone who is <strong>curious about new technologies</strong>, <strong>eager to learn</strong>, and passionate about <strong>using technology as a practical tool</strong> to drive meaningful business impact. You enjoy solving complex problems and thrive in environments where innovation, continuous learning, and collaboration are key.</p> <h3><strong>The Opportunity </strong></h3> <p>Adyen is building out its capabilities in data-driven risk management to combat financial crime and fraud across its platform. We operate at a <strong>massive global scale</strong>, enabling businesses around the world to accept payments, issue cards, and embed financial products, helping <strong>millions of business owners around the globe do business with less friction</strong>. 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. </p> <h3><strong>Key Responsibilities</strong></h3> <ul> <li>Design and develop robust, scalable software systems that integrate Machine Learning models into production environments.</li> <li>Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and translate them into technical solutions.</li> <li>Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges.</li> <li>Mentor and guide junior engine