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# Platform Engineer

- **Company:** Adyen N.V.
- **Location:** Amsterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** Data Distribution Service, Shard (Database Architecture), Programming Tools, Distributed Data Store, Distributed Systems, Elasticsearch, Fault Tolerance, Python (Programming Language), Performance Tuning, Redis, Software Engineering, System Availability, Cassandra, Vertica, Software Coding
- **Published:** August 15, 2026
- **Apply:** https://www.adzuna.nl/details/5843281424

## About the Role

* Experience working with distributed data stores like Cassandra, Redis, Clickhouse, or similar technologies.
 * Solid programming experience with Python or Go, with a track record of building reliable infrastructure automation and developer tooling.
 * Familiar with partitioning, replication, consistency models, and CAP theorem. Familiar with 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.

## Description

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.
What you'll do;

 * 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.


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