Senior Software Engineer – Data Integration, JVM Ecosystem

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $125 600 - $185 500 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of ClickHouse

ClickHouse

51 - 200 employés

Fondée en 2016

☁️ SaaS

🏢 Entreprise

🤖 Intelligence artificielle

SaaS • Enterprise • Artificial Intelligence

ClickHouse est un entrepôt de données temps réel et une base de données open source, rapide et économe en ressources, conçu pour offrir des performances de requêtes supérieures pour les applications critiques et sensibles au temps. Disponible en service cloud sur les principales plateformes (AWS, GCP, Azure), avec une option "Bring Your Own Cloud" et un large éventail d’intégrations pour une exploitation fluide au sein de stacks technologiques variées. ClickHouse excelle en analytique en temps réel, machine learning, business intelligence et observabilité, ce qui en fait un choix idéal pour des cas d’usage tels que les services financiers, la détection de fraude et l’analytique des jeux vidéo. Il prend en charge des opérations SQL pensées pour les développeurs, propose des solutions de stockage économiques et constitue une alternative open source aux bases de données traditionnelles. Des entreprises comme Sony, Lyft, Cisco, GitLab et Twilio s’appuient sur ClickHouse pour sa scalabilité, son efficacité et sa simplicité d’utilisation.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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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