
51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.
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51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.
• As a Senior Software Engineer on Language Clients, you'll be a technical owner of ClickHouse's Java client and JDBC driver, the foundation that our own Connectors team and a long list of external frameworks rely on to talk to ClickHouse. • Your primary users are engineers: the Connectors team building ClickHouse connectors for Kafka, Flink, Spark, and others, and the broader JVM ecosystem (data ingestion tools, BI platforms, data visualizations) that consumes the driver directly. Your job is to make sure they have a fast, reliable, well-designed foundation and to treat their feedback as the signal for where the driver goes next. • In your first year you can expect to: • Own the Java client and JDBC driver end-to-end: roadmap, API design, performance, release engineering, and partner-facing support. • Drive throughput and latency work across the client and ClickHouse server • Partner day-to-day with the Connectors team as an embedded internal customer: understand what their connectors need from the driver, and ship it. • Engage directly with external partners across data ingestion, and data visualization on interoperability, regressions, and roadmap alignment. • Ship visible, measurable wins in throughput, stability, and developer experience.
• 5+ years of software engineering experience with a significant portion focused on data-intensive systems: drivers, SDKs, ingestion, CDC, streaming, or analytics. • Deep Java and JVM expertise: memory model, GC tuning, profiling, and the ability to reason about throughput and latency at the level of bytes on the wire. • Hands-on experience building or substantially extending a library that other engineers depend on. You understand that API design compounds, and that a breaking change in a widely used library is a very different thing from a breaking change in an application. • Strong grasp of database fundamentals: SQL, query execution, and analytical/OLAP workloads. Judgment about when to lean on framework abstractions versus when to drop down to the protocol. • Solid instincts on concurrency in the JVM: executors, reactive streams, backpressure, connection pooling, and the failure modes that come with each. • Thoughtful, transparent use of modern AI development tools (Claude Code, Cursor, Copilot, or equivalents) combined with strong independent design and code review judgment. We expect engineers to lean on AI where it's genuinely helpful and to be explicit about where they didn't. Resistance to AI tooling is a mismatch for this team and so is over-reliance without the underlying engineering depth to review what comes out. • Excellent written communication. Most of our coordination happens in design docs, PR descriptions, and RFCs. • Genuine open-source disposition: comfort engaging with community issues, external contributors, and public design discussions. You don't need to be a maintainer of a well-known project, but you do need to be comfortable working in the open.
• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. • Healthcare - Employer contributions towards your healthcare. • Equity in the company - Every new team member who joins our company receives stock options. • Time off - Flexible time off in the US, generous entitlement in other countries. • A $500 Home office setup if you’re a remote employee. • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
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