Java Engineer II

This is Adyen

Adyen is the financial technology platform of choice, offering a comprehensive solution encompassing payments, data, and financial products for renowned customers like Meta, Uber, H&M, and Microsoft. We value ambition and strive to engineer for it, creating an environment filled with opportunities and a supportive culture to allow our people to truly own their careers. The individuals at Adyen are driven, tackling unique technical challenges at scale and solving them as a team. Together, we deliver innovative, ethical solutions that enable businesses to achieve their ambitions faster.

Software Engineer (Distributed Data Stores)

Adyen is in search of a Software Engineer (Distributed Data Stores) with a strong focus on Java to join our team. Our platforms are scaling rapidly, and you will play a critical role in developing, optimizing, and scaling distributed data systems that power our core services.

In this role, you will collaborate with engineers across teams to manage and enhance distributed data stores like Cassandra, Elasticsearch, and Redis. You will develop client, design partitioning and clustering strategies, improve system performance, and ensure high availability for globally distributed services.Adyen is hiring a Java-focused Software Engineer (Distributed Data Stores) to contribute to our rapidly scaling platforms. This role involves developing, optimizing, and scaling the distributed data systems essential to our core services.

Responsibilities include collaborating with other engineers to manage and enhance distributed data stores such as Cassandra, Elasticsearch, and Redis. The role also entails developing clients, designing partitioning and clustering strategies, improving system performance, and ensuring the high availability of our globally distributed services.

What you’ll do;

• Write efficient Java code to interact with various distributed databases and optimize performance.
• Design, build, and optimize distributed data stores to ensure scalability, fault tolerance, and high availability.
• Develop and implement data partitioning, clustering, and sharding strategies for large-scale global systems.
• Collaborate with platform and infrastructure teams to ensure seamless integration and operation of distributed systems.
• Troubleshoot performance bottlenecks and work on mission critical systems to ensure availability in production environments.

Who You Are;