The opportunity
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…
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.
Experience working with distributed data stores like Cassandra, Redis, Clickhouse, or similar technologies.
What they're looking for
- 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.
