Description & RequirementsOur team The ClickHouse Infrastructure team is building a managed ClickHouse platform to power analytics and real-time insights across Bloomberg. Our goal is to provide a ClickHouse-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 ClickHouse 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 ClickHouse engine and ecosystem and contribute upstream when it helps the broader community.
We will expect you to- Drive the design and implementation of ClickHouse 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 (eg 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 ClickHouse (or similar OLAP systems such as Apache Druid/Pinot/Trino) at scale.
- Familiarity with ClickHouse internals and ecosystem (e.g., MergeTree 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 = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
