Our team

The Click House Infrastructure team is building a managed Click House platform to power analytics and real-time insights across Bloomberg. Our goal is to provide a Click House-as-a-Service offering that enables teams to run fast, reliable, and cost-efficient analytical workloads without managing infrastructure themselves. As we build and evolve this platform, there is a meaningful opportunity to shape its design, capabilities, and long-term direction.

Who are we?

We are a team of engineers focused on building and operating an infrastructure platform to make Click House easy to deploy, operate, and scale. We use a diverse set of languages (Python, Java, and Go) to deliver a comprehensive managed service supporting cluster lifecycle operations, observability, and self-service tooling. We partner with application teams to help them use the platform effectively, while continuously improving the reliability, performance, and usability of the service itself.

Who are you?

You’re a talented, motivated engineer who’s passionate about distributed systems and data infrastructure. You care about performance, correctness, and operability. You’re comfortable working in an evolving environment and helping shape the direction of a growing platform. You’re excited to work close to the Click House engine and ecosystem and contribute upstream when it helps the broader community.

We will expect you to

• Drive the design and implementation of Click House platform services (provisioning, scaling, upgrades, backup/restore, multi-tenant resource management).

• Partner with product teams to model data and tune workloads (partitioning, primary keys, sorting, compression, materialized views, projections, TTL/tiered storage).

• Develop platform features and standards that enable scalable, reliable data ingestion across teams.

• Establish best practices for analytical SQL, cost/performance optimization, and SLOs.

• Improve operational processes, automation, and documentation for a large fleet of clusters.

You’ll need to have

• 4+ years of software engineering experience in object oriented languages (e.g. Java, Python, Go, C++).

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field.

• Strong problem-solving and communication skills.

• Working knowledge of modern build and CI/CD tooling (Jenkins/Maven/Jira).

• Solid understanding of algorithms, data structures, object-oriented design, and multi-threaded programming.

• SQL fundamentals and understanding of basic database operations.

We’d love to see

• Experience operating Click House (or similar OLAP systems such as Apache Druid/Pinot/Trino) at scale.

• Familiarity with Click House internals and ecosystem (e.g., Merge Tree tables, replication, background merges, query profiling, storage policies).

• Experience working with containerized systems (Docker, container runtimes, or orchestration platforms).

• Familiarity with distributed storage systems or database internals (e.g., replication, sharding, consistency models, storage engines).

• Exposure to streaming or data pipeline technologies (Kafka, Flink, Spark, etc.).

• Open-source involvement (e.g., code contributions, issue triage, or community participation).

Interested in the tech? Check out the ClickHouse project on GitHub: https://github.com/ClickHouse/ClickHouse

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus