Top Software Engineer Jobs

As Team Lead in Platforms & Financial Services, you will guide cross-functional teams, set product strategies, coach team members on engineering best practices, and cultivate a collaborative environment. Responsibilities include recruiting new team members, designing and implementing features focused on scalability and reliability, and establishing clear objectives aligned with company goals.

Work as a Software Engineer in Platforms & Financial Services at Adyen, focusing on complex technical projects, system design, implementation, and collaboration across teams and time zones.

As the Team Lead for Android Engineering at Adyen, you will guide and mentor a talented team, enhance hardware solutions for payment terminals, and collaborate with cross-functional teams. Your role includes streamlining operations, setting clear goals, and fostering an inclusive team culture.

The VP Engineering for ML/AI will lead and mentor a diverse team, oversee the delivery and reliability of the ML platform, manage live production systems, and drive innovative techniques in machine learning. They are charged with ensuring alignment with company goals and fostering a high-performance culture within the engineering teams.

Software Engineer in Data at Adyen, working on complex technical projects, offering support in software architectural discussions, improving platform robustness, and collaborating across teams.

As a Senior Data Engineer at Adyen, you'll design and implement high-quality data pipelines and architectures, ensuring seamless data flows, optimizing performance, and championing data best practices. You'll collaborate with various stakeholders to develop scalable solutions, maintain data accuracy, and drive a data-centric culture.

As a Senior Machine Learning Scientist at Adyen, you will design, develop, and implement machine learning algorithms for various data products. This includes creating orchestration pipelines, automating experiments, and collaborating with MLOps. You are expected to stay current with machine learning advancements and apply them effectively in your work, while also leading projects from ideation to deployment.