Platform Engineer (Distributed Data Stores)

• Adyen is in search of a Platform Engineer for our NoSQL team with a strong background in Python or Go to join our team in Amsterdam.

• 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 work at the intersection of software engineering, database administration, and infrastructure operations.

• You’ll be responsible for both building the tools that manage our data and the underlying infrastructure that keeps our clusters running.

• You will collaborate with engineers across teams to manage and enhance distributed data stores such as Cassandra, Elasticsearch, and Redis, while helping us explore new service offerings such as Clickhouse.

• You will help to design partitioning and clustering strategies, improve system performance, and ensure high availability for globally distributed services.

• Develop robust tooling and automation using Python or Go to manage, scale, and monitor distributed data stores.

• 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.

Benefits

• Global exchange program

• Weekly happy hour

• Delicious healthy lunches

• Phantom share package

• Yearly trip to Amsterdam

• Paid holidays

• Work from home opportunities

• Solid programming experience with Python or Go, with a track record of building reliable infrastructure automation and developer tooling.

• Experience working with distributed data stores like Cassandra, Redis, Clickhouse, or similar technologies.

• 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.

• Familiar with partitioning, replication, consistency models, and CAP theorem. Familiar with data distribution strategies like sharding and consistent hashing.

• Develop and maintain tools and libraries for managing different distributed data stores, automating routine tasks, and ensuring consistent deployment practices.

• You are a proactive problem solver, willing to take ownership of challenges. A team player with a strong desire to learn and improve continuously.

• Demonstrated ability to troubleshoot and resolve issues in large-scale, production environments with distributed systems.

• 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. Don’t be afraid to let us know if you need more flexibility.