About the job
Join Adyen as a Staff Software Engineer
At Adyen, we are the financial technology platform of choice for premier enterprises, delivering an integrated solution for payments, data, and financial products to global giants such as Meta, Uber, and H&M. We pride ourselves on fostering an ambitious environment where our talented individuals can flourish, supported by a culture that values ownership and collaboration. Here, you will work alongside motivated peers to tackle unique technical challenges on a grand scale, crafting innovative and ethical solutions that empower businesses to reach their goals more swiftly.
About the Role
We are on the lookout for an exceptionally skilled and passionate Staff Software Engineer to join our dynamic team. The ideal candidate will possess a robust background in developing reliable, scalable, and low-latency systems, with hands-on experience in applying Machine Learning (ML) solutions. In this pivotal role, you will be integral to the design, development, and scaling of systems that harness ML to address real-world business challenges.
If you are driven by curiosity about emerging technologies, eager to expand your knowledge, and enthusiastic about leveraging technology as a practical tool to create significant business impact, then this is the role for you. You will thrive in an environment that emphasizes innovation, continuous learning, and teamwork.
The Opportunity
Adyen is enhancing its capabilities in data-driven risk management to effectively combat financial crime and fraud across our platform. Operating at a massive global scale, we empower businesses worldwide to accept payments, issue cards, and integrate financial products, thus enabling millions of entrepreneurs to conduct business with reduced friction. As we pivot towards a more comprehensive approach to proactively detect and mitigate financial crime and fraud, your contributions will be vital.
Key Responsibilities
- Design and implement robust, scalable software systems that seamlessly integrate Machine Learning models into production environments.
- Work closely with product managers, data scientists, and business stakeholders to comprehend business issues and convert them into effective technical solutions.
- Assess and embrace new technologies, frameworks, and tools, driving their adoption where beneficial to tackle real business challenges.
- Mentor and support junior engineers, fostering their growth and development within the team.

