Senior Staff Engineer, Money Systems & Pricing (AI)

Databricks

Bellevue (WA)

Sur place

USD 217 000 - 288 400

Plein temps

14 jours+

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Avantages offerts par ce poste

Comprehensive benefits
Diversity and inclusion commitments

Résumé du poste

Databricks is looking for a Sr. Staff Software Engineer to join the Money team in Bellevue, Washington. You will play a critical role in designing and managing financial systems, developing innovative pricing strategies, and enhancing infrastructure efficiency. Candidates should have 9+ years of experience in large data processing and distributed services management.

Our mission is to maximize value from data projects using cutting-edge engineering. Join us in our commitment to solving the world's toughest problems through data and AI.

Qualifications

  • 9+ years of experience building scalable large projects.
  • Proven track record in managing distributed services and data pipelines.
  • Demonstrated leadership across functional boundaries.

Responsabilités

  • Design and manage Money systems and services.
  • Develop innovative pricing strategies for Databricks products.
  • Enhance efficiency and reliability in engineering processes.
  • Collaborate on commercialization efforts.
  • Innovate cost optimization using AI and LLMs.

Connaissances

Distributed service infrastructure management
Real-time large data processing
Leadership
High-quality solution delivery

Formation

BS or higher degree in Computer Science or related field

Description du poste

Databricks is looking for a Sr. Staff Software Engineer to join the Money team in Bellevue, Washington. You will play a critical role in designing and managing financial systems, developing innovative pricing strategies, and enhancing infrastructure efficiency. Candidates should have 9+ years of experience in large data processing and distributed services management.

Our mission is to maximize value from data projects using cutting-edge engineering. Join us in our commitment to solving the world's toughest problems through data and AI.

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