Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Docker @ 4
Go @ 6
Jenkins @ 4
Kafka @ 4
Python @ 6
SQL @ 4
Spark @ 4
Java @ 6
CI/CD @ 4
Algorithms @ 4
Data Structures @ 4
Flink @ 4
Communication @ 7
Performance Optimization @ 4
Jira @ 4
Trino @ 4
OLAP @ 4
Maven @ 4
Profiling @ 3
ClickHouse @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The ClickHouse Infrastructure team is building a managed ClickHouse platform to power analytics and real-time insights across Bloomberg. The role focuses on building a ClickHouse-as-a-Service offering to enable teams to run fast, reliable, and cost-efficient analytical workloads without managing infrastructure.
Responsibilities
- Drive the design and implementation of ClickHouse platform services: provisioning, scaling, upgrades, backup/restore, and 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.
Requirements
- 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.
Nice to have
- Experience operating ClickHouse or similar OLAP systems at scale (Apache Druid, Pinot, Trino).
- Familiarity with ClickHouse internals and ecosystem (MergeTree tables, replication, background merges, query profiling, storage policies).
- Experience with containerized systems (Docker, container runtimes, orchestration platforms).
- Familiarity with distributed storage systems or database internals (replication, sharding, consistency models, storage engines).
- Exposure to streaming or data pipeline technologies (Kafka, Flink, Spark).
- Open-source involvement (code contributions, issue triage, or community participation).
Compensation & Benefits
- Salary Range: 160,000 - 240,000 USD Annual + Benefits + Bonus
- Bloomberg offers comprehensive benefits that may include merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short and long term disability, 401(k) with match, life insurance, and wellness programs. (The company does not provide benefits directly to contingent workers/contractors and interns.)
Location
- New York (role listed in New York).