Senior Software Engineer – Data Integration, JVM Ecosystem

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ClickHouse

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2016

☁️ SaaS

🏢 Unternehmen

🤖 Künstliche Intelligenz

SaaS • Enterprise • Artificial Intelligence

ClickHouse ist ein schnelles, ressourceneffizientes Echtzeit‑Data‑Warehouse und eine Open‑Source‑Datenbank, die für überragende Abfrageleistung in geschäfts‑ und zeitkritischen Anwendungen entwickelt wurde. Es ist als Cloud‑Service auf führenden Plattformen wie AWS, GCP und Azure verfügbar, bietet eine Option „Bring Your Own Cloud“ und eine breite Palette an Integrationen für den nahtlosen Betrieb in unterschiedlichen Tech‑Stacks. ClickHouse überzeugt bei Echtzeit‑Analysen, Machine Learning, Business Intelligence und Observability und ist damit eine ideale Wahl für Anwendungsfälle wie Financial Services, Fraud Detection und Gaming‑Analytics. Es unterstützt entwicklerfreundliche SQL‑Operationen, bietet kosteneffiziente Storage‑Lösungen und stellt eine Open‑Source‑Alternative zu traditionellen Datenbanken dar. Unternehmen wie Sony, Lyft, Cisco, GitLab und Twilio setzen ClickHouse wegen seiner Skalierbarkeit, Effizienz und Benutzerfreundlichkeit ein.

Beschreibung

• As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. • You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. • Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. • You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

🎯 Anforderungen

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions. • Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam. • Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect. • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases. • A track record of building scalable data integration systems (beyond simple ETL jobs) • Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling. • Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns. • Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions. • Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire. • Passion for open-source development.

🏖️ Vorteile

• 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.