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
Skills & Competencies
- Java
- Machine Learning applications
- Software architecture and system design
- Scalable, reliable, low-latency systems
- Data-intensive applications
- SQL and NoSQL databases
- PostgreSQL
- Cassandra
- Streaming and queuing frameworks
- Data engineering and big data
- Spark
- Distributed data architectures
- Incident management
- Financial crime and fraud risk intelligence
- Technical leadership and mentoring
- Cross-functional collaboration
- Technical 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, Netherlands
- The 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.
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