Staff Software Engineer - Identity and Risk Intelligence

Staff Software Engineer – Identity & Risk Intelligence About the Role Adyen is seeking a Staff Software Engineer to help build and scale data-driven risk intelligence capabilities that detect and mitigate financial crime and fraud across its global financial technology platform. You will design and deliver reliable, scalable, low-latency systems that integrate Machine Learning (ML) models into production environments. This role combines hands-on software engineering, system architecture, technical leadership, and cross-functional collaboration. You will work with large-scale payments and identity data to help identify platform actors, assess risk, support financial crime detection, and reduce fraud while limiting friction for genuine customers. Key Responsibilities Design, develop, and scale robust software systems that integrate ML models into production.Build systems that support proactive financial crime and fraud detection and mitigation.Partner with product managers, data scientists, and business stakeholders to translate business problems into technical solutions.Evaluate new technologies, frameworks, and tools, and drive appropriate adoption.Lead technical design discussions and contribute to the technology roadmap.Mentor junior engineers and peers through technical leadership and knowledge sharing.Advocate for software engineering and system architecture best practices.Collaborate with Account Management, Compliance, Operations, and other technical and non-technical teams.Continuously develop knowledge of software engineering, infrastructure, and AI technologies. Required Qualifications At least 10 years of hands-on software engineering experience; the posting references 10–12 years of industry experience.Experience building data-intensive applications, including system design, architecture, and development.Experience building scalable, reliable, and low-latency systems.Strong Java programming skills.Hands-on experience with Machine Learning applications.Experience with incident management.Experience using SQL and NoSQL databases, including PostgreSQL and Cassandra.Knowledge of streaming and queuing frameworks.Familiarity with data engineering concepts, big data tools such as Spark, and distributed data architectures.Deep curiosity and a commitment to learning new technologies and techniques.Ability to apply technology pragmatically to solve real business problems.Product sense and the ability to understand how research can translate into valuable applications.Excellent communication skills and a collaborative mindset. Preferred Qualifications Python experience. Skills & Competencies JavaMachine Learning applicationsSoftware architecture and system designScalable, reliable, low-latency systemsData-intensive applicationsSQL and NoSQL databasesPostgreSQLCassandraStreaming and queuing frameworksData engineering and big dataSparkDistributed data architecturesIncident managementFinancial crime and fraud risk intelligenceTechnical leadership and mentoringCross-functional collaborationTechnical communication Education & Experience Education: No education requirement was specified. Experience: At least 10 years of hands-on software engineering experience, including work on data-intensive applications, system design, architecture, and development. Work Arrangement & Schedule Location: Amsterdam, Noord-Holland, NetherlandsThe listing labels the position “Remote,” but the job description states that the role is based in Adyen’s Amsterdam office.Adyen is an office-first company and does not offer remote-only roles.Employment type, expected weekly hours, and weekend requirements were not specified. Compensation & Benefits Compensation and specific benefits were not provided. The role offers the opportunity to work with global-scale payments and identity datasets and contribute to AI and fintech innovation. Compliance / Additional Information Adyen welcomes diverse backgrounds and perspectives and is committed to an inclusive workplace. The company encourages candidates to apply even if they do not meet every listed qualification.