# Senior Software Engineer - JVM Language Clients

**Company:** [Clickhouse](https://hotfix.jobs/companies/clickhouse)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $141k – $232k/yr
**Experience:** 5+ years
**Skills:** Java, Jvm, Jdbc, ClickHouse, SQL, Apache Kafka, Spark, Apache Flink, Arrow, Gc Tuning, Connection Pooling, Reactive Streams
**Posted:** 2026-04-22

> Owns and evolves the Java client and JDBC driver for ClickHouse, driving performance, API design, and integrations with data tools like Kafka, Spark, and Flink. Requires 5+ years experience, deep Java/JVM expertise, database fundamentals, and open-source collaboration.

## Job Description

## What you'll do

- 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.

We expect you to bring opinions, artifacts, and written proposals to shape where we invest next.

## About you

- **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.

## Nice to have

- Working knowledge of **JDBC internals**, ADBC, or **Arrow** / **Arrow Flight SQL**.
- Experience designing or evolving wire protocols, or contributing to a widely-used network client.
- Prior contributions to open-source data infrastructure (**Kafka**, **Spark**, **Flink**, dbt, Debezium, **Iceberg**, or similar).
- Working knowledge of **ClickHouse** or another columnar/OLAP engine.

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