Senior Software Engineer - Real-Time Query Engine & Scale

International Business Machines Corporation

Rochester (MN)

On-site

USD 120,000 - 160,000

Full time

13 days ago

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Job summary

International Business Machines Corporation (IBM) is seeking a Senior Software Engineer to advance the Realtime Context Engine, focusing on multi-tenant, scalable compute infrastructure and efficient query execution. You will drive platform features and collaborate with cross-functional teams to shape cloud-native AI-powered solutions.

Join IBM Software to work on cutting-edge database technologies and scale systems across large datasets, while contributing to OSS projects and cloud integrations

Qualifications

  • 3-5 years of demonstrated professional work experience building database technologies.
  • Experience in building and operating large-scale database systems.
  • Distributed Systems domain experience.
  • Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels.

Responsibilities

  • Design and implement query execution, planning, and caching strategies at massive scale.
  • Build and maintain multi-tenant, highly available infrastructure powering Lightning tables and the realtime context engine.
  • Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage features and infrastructure.

Skills

C++
Rust
Distributed systems
Communication

Education

Computer Science degree with specialization in database technologies

Tools

Apache Iceberg
Velox
Substrait
AWS
Azure
GCP

Job description

International Business Machines Corporation (IBM) is seeking a Senior Software Engineer to advance the Realtime Context Engine, focusing on multi-tenant, scalable compute infrastructure and efficient query execution. You will drive platform features and collaborate with cross-functional teams to shape cloud-native AI-powered solutions.

Join IBM Software to work on cutting-edge database technologies and scale systems across large datasets, while contributing to OSS projects and cloud integrations

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