Platform Engineer

Requirements

• 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.

What You'll Be Doing

• 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.

Perks and Benefits

• Our unique approach is a product of our diverse perspectives.
• We welcome all backgrounds and cultures to join us.
• Study shows that women and underrepresented communities are encouraged to apply.
• Smooth and enjoyable candidate experience.
• Interview process typically takes about 4 weeks to complete.