Software Engineer - Distributed Data Stores

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.

• 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.

• Strong experience working with distributed data stores like Cassandra, Redis, Elasticsearch, or similar technologies.
• Advanced knowledge of Java, with hands-on experience in writing scalable and high-performing code for distributed systems.
• Familiar with partitioning, replication, consistency models, and CAP theorem. Experience in designing data distribution strategies like sharding and consistent hashing.
• Demonstrated ability to troubleshoot and resolve issues in large-scale, production environments with distributed systems.
• You are a proactive problem solver, willing to take ownership of challenges. A team player with a strong desire to learn and improve continuously.
• Develop and maintain tools and libraries for managing different distributed data stores, automating routine tasks, and ensuring consistent deployment practices.
• Participate in a 24/7 on-call rotation once or twice a month, responding to and resolving urgent issues to maintain system stability and minimize downtime.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.