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VAST Data

Core Database Developer (Database Internals)

Posted 24 days ago
2-5 years experience
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AI Summary

Design, build, and optimize the core engine of a high-performance database system. Collaborate with cross-functional teams to implement new features and ensure system scalability.

Shape the Future of AI Infrastructure with VAST Data

This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.

Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.

Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.

VAST Data is looking for a Core Database Developer (Database Internals) to join our growing team!

We are looking for a talented Software Engineer to design, build, and optimize the core engine of our high-performance database system. This is a deep, systems-level role focused on the internal workings of a database. You will be responsible for creating the fundamental components that store, retrieve, and process data efficiently.

Responsibilities:

  • Design and implement new features for database engines.
  • Optimize database performance and ensure scalability.
  • Collaborate with cross-functional teams to integrate database solutions.
  • Conduct code reviews and provide feedback to improve code quality.
  • Troubleshoot and resolve database issues in a timely manner.

Requirements

  • Bachelor's degree in Computer Science or related field.
  • Experience in database development.
  • Strong knowledge of database internals and architecture.
  • Proficiency in SQL and database management systems.
  • Experience with performance tuning and optimization techniques.
  • Familiarity with distributed systems and large-scale databases.
  • Excellent problem-solving skills and attention to detail.

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