Чёткая роль уровня Staff с фокусом на распределённые хранилища, движки запросов и облачную инфраструктуру большого масштаба; задачи подробно описаны и связаны с развитием продуктовой платформы.
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Современные технологииПонятная зона ответственностиЗрелая продуктовая средаБез визовой поддержки
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TL;DR
Confluent Staff Software Engineer - Kafka (Distributed Storage and Query Engines): Building next-generation storage and query solutions for Kora through the Tableflow and Lightning Tables projects, with an accent on table materialization, compaction, query planning, and analytical performance. Focus on designing scalable multi-tenant infrastructure, solving distributed storage and query-engine challenges, and ensuring high availability for background tasks and query serving.
Location: Remote within the United States; listed locations include Poughkeepsie, Lowell, Rochester, Tucson, Research Triangle Park, Armonk, Boston, Bellevue, Atlanta, San Jose, Dallas, Austin, San Francisco, and Seattle.
Salary: $161,000–$299,000 per year.
Company
IBM Software develops AI-powered, cloud-native, hybrid-cloud, and data-platform products for business and enterprise customers.
What you will do
Develop Tableflow and Lightning Tables capabilities for Kora, enabling streaming data to be consumed and queried as both tables and streams.
Design storage-engine strategies for table schematization, materialization, and compaction at massive scale.
Build query-planning, execution, and optimization components for fast analytical workloads.
Develop multi-tenant, highly available infrastructure for background computation, long-term storage, and query serving.
Optimize systems for scalability, reliability, and resilience across Confluent Cloud.
Collaborate with product management, design, and engineering teams to integrate storage, query, and infrastructure features.
Requirements
Bachelor’s, master’s, or PhD degree in computer science or a related field, or equivalent work experience.
Excellent communication and collaboration skills.
Ability to influence and guide stakeholders at all levels.
Ability to work without current or future visa sponsorship.
Nice to have
Familiarity with or contribution to Apache Kafka, Apache Iceberg, Apache Flink, or Apache Fluss.
Experience with query engines or distributed SQL systems such as Presto/Trino, Spark SQL, DuckDB, or ClickHouse.
Experience or knowledge with AWS, Azure, or GCP.
Culture & Benefits
Remote work arrangement with a general daytime shift; some travel may be required based on business demand.
Healthcare coverage including medical, prescription, dental, vision, and mental-health benefits.
Paid holidays, sick time, vacation, parental bonding leave, and other paid care leave under applicable policies.
Access to AI-driven learning resources, certifications, employee resource groups, volunteering opportunities, and discounts.
Hiring process
The position is expected to remain posted for 21 days from 28 October 2026 or less if no longer needed.
Visa sponsorship is not provided now or in the future; applicants must already be able to work without sponsorship.
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