Staff Software Engineer, Distributed Storage & Analytics

International Business Machines Corporation

San Diego (CA)

On-site

USD 180,000 - 260,000

Full time

17 hours ago
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Job summary

IBM Software in San Diego is seeking a Staff Software Engineer to advance the Tableflow and Lightning Tables projects, building scalable multi-tenant storage and query capabilities for the Confluent Cloud ecosystem. You will help design powerful storage and query features, drive performance, reliability, and scalability for analytics workloads.

You will collaborate with cross-functional teams to deliver cloud-native solutions, mentor engineers, and contribute to open-source components while

Qualifications

  • BS, MS, or PhD in computer science or related field, or equivalent work experience.
  • Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels.
  • Experience with distributed SQL systems and cloud platforms is advantageous.

Responsibilities

  • Storage Engine Development: Design and implement strategies for table schematization, materialization, and compaction at massive scale.
  • Query Engine Development: Design and implement components for query planning, execution, and optimization for fast analytical queries.
  • Platform Engineering: Build and maintain multi-tenant, highly available infrastructure for long-term storage and query serving.
  • Cross-Functional Collaboration: Work with product management, design, and other engineering teams to integrate features across the stack.

Skills

Excellent communication and collab.
Influence stakeholders

Education

BS/MS/PhD in computer science or related field
Equivalent work experience

Tools

Apache Kafka
Apache Iceberg
Apache Flink
Apache Fluss

Job description

IBM Software in San Diego is seeking a Staff Software Engineer to advance the Tableflow and Lightning Tables projects, building scalable multi-tenant storage and query capabilities for the Confluent Cloud ecosystem. You will help design powerful storage and query features, drive performance, reliability, and scalability for analytics workloads.

You will collaborate with cross-functional teams to deliver cloud-native solutions, mentor engineers, and contribute to open-source components while

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