platform engineer for distributed data stores

Adyen is a financial technology platform offering payments, data, and financial products to renowned customers. Its platforms support businesses through scalable, ethical solutions and globally distributed services.

• Develop tooling and automation using Python or Go to manage, scale, and monitor distributed data stores;
• Design, build, and optimize distributed data stores for scalability, fault tolerance, and high availability;
• Develop and implement partitioning, clustering, and sharding strategies for large-scale global systems;
• Collaborate with platform and infrastructure teams to integrate and operate distributed systems;
• Troubleshoot performance bottlenecks and support mission-critical systems in production;
• Develop and maintain tools and libraries for managing distributed data stores, automating routine tasks, and ensuring consistent deployment practices;
• Participate in a 24/7 on-call rotation once or twice a month, resolving urgent issues and minimizing downtime.

• Experience with distributed data stores such as Cassandra, Redis, Clickhouse, or similar technologies;
• Solid Python or Go programming experience, including reliable infrastructure automation and developer tooling;
• Familiarity with partitioning, replication, consistency models, and the CAP theorem;
• Familiarity with sharding and consistent hashing;
• Experience troubleshooting and resolving issues in large-scale production environments with distributed systems;
• Proactive problem-solving skills and ownership of challenges;
• Ability to work effectively in a team and continuously learn and improve.

• The role is based out of the Amsterdam office;
• Office-first company with in-person collaboration;
• Participation in a 24/7 on-call rotation once or twice a month;
• No remote-only roles are offered.