Senior Software Engineer – Data Integration, JVM Ecosystem

🕒 Maio 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $125.600 - $185.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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ClickHouse

51 - 200 funcionários

Fundada em 2016

☁️ SaaS

🏢 Corporativo

🤖 Inteligência Artificial

SaaS • Enterprise • Artificial Intelligence

ClickHouse é um data warehouse em tempo real rápido e eficiente no uso de recursos e um banco de dados open source, projetado para oferecer desempenho superior de consultas para aplicações de missão crítica e sensíveis ao tempo. Está disponível como serviço em nuvem nas principais plataformas, como AWS, GCP e Azure, com opção de "Bring Your Own Cloud" e uma ampla gama de integrações para operação fluida em diferentes stacks de tecnologia. O ClickHouse se destaca em analytics em tempo real, machine learning, business intelligence e observabilidade, sendo uma escolha ideal para tarefas como serviços financeiros, detecção de fraudes e analytics para jogos. Ele oferece operações SQL amigáveis para desenvolvedores, soluções de armazenamento com ótimo custo-benefício e uma alternativa open source a bancos de dados tradicionais. Empresas como Sony, Lyft, Cisco, GitLab e Twilio utilizam o ClickHouse por sua escalabilidade, eficiência e facilidade de uso.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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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