Элитная возможность влиять на ядро Apache Spark и платформу Databricks, предлагающая огромный технический импакт и рост в самом трендовом домене инфраструктуры данных и AI.
Staff Software Engineer (Streaming): Building and optimizing the Spark Structured Streaming engine for the Databricks Data Intelligence Platform with an accent on state management, latency, and throughput. Focus on re-imagining engine architecture, designing new operators, and driving stream processing adoption across the product portfolio.
Location: Seattle, Washington
Salary: $182,400 — $247,000 USD
Company
Databricks is the data and AI company providing a unified platform for data, analytics, and AI used by over 10,000 organizations worldwide.
What you will do
Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform.
Design and build core engine capabilities, including advanced state management and new operators.
Improve engine architecture to optimize latency, throughput, and cost.
Raise the bar for engineering quality and operability to ensure software is production-ready.
Drive stream processing adoption across the entire Databricks product portfolio.
Mentor and technically lead engineers while partnering with management to grow talent.
Requirements
BS or higher in Computer Science, a related technical field, or equivalent practical experience.
8+ years of experience building big-data ecosystems, Apache Spark, or database internals.
Deep passion for distributed systems, storage systems, language design, or performance optimization.
Proven track record of delivering features while maintaining high operational excellence.
Ability to work cross-functionally with product management and customers to understand user personas.
Must be based in Seattle, Washington.
Culture & Benefits
Comprehensive benefits and perks tailored to the employee's region.
Opportunity to contribute to high-impact open-source technology like Apache Spark.
Inclusive culture committed to diversity, equity, and equal employment opportunity.
Collaborative environment focused on solving the world's toughest data and AI problems.
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