28 days ago
Amsterdam, NetherlandsSenior
Responsibilities
- Develop tooling and automation in 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 partitioning, clustering, and sharding strategies for large-scale global systems.
- Build and maintain tools and libraries for distributed data store management and routine task automation.
- Collaborate with platform and infrastructure teams to integrate and operate distributed systems.
- Troubleshoot production performance bottlenecks and resolve urgent issues during the 24/7 on-call rotation.
Requirements
- Experience working with distributed data stores such as Cassandra, Redis, ClickHouse, or similar technologies.
- Solid programming experience with Python or Go, including reliable infrastructure automation and developer tooling.
- Familiarity with partitioning, replication, consistency models, the CAP theorem, sharding, and consistent hashing.
- Demonstrated ability to troubleshoot and resolve issues in large-scale production distributed systems.
- Proactive problem-solving, ownership, teamwork, and continuous learning.
Benefits
- The role is based in Adyen’s Amsterdam office.
- Adyen is an office-first company focused on in-person collaboration and does not offer remote-only work.
- The position includes a 24/7 on-call rotation once or twice per month.
- Adyen emphasizes a diverse, inclusive, and supportive workplace.
- The interview process typically takes about four weeks, and applicants can request additional flexibility.
About Adyen
Adyen builds a unified payments and financial technology platform for large merchants and platforms, offering card processing, POS, mobile, and global acquiring, plus risk and data tools. It sells payment processing and related services directly to businesses, earning fees per transaction. Founded in 2006 and headquartered in Amsterdam, it is a public company listed on Euronext Amsterdam (AMS: ADYEN) with customers including Meta, Uber, and H&M.