Software Engineer - Python, SQL

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

• 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.