Senior Engineering Manager at Databricks - ScoutJobs - The AI-curated global job board
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Senior Engineering Manager

DatabricksSenior Engineering Manager

Requirements

15+ years software engineering experience, 5+ years engineering management experience, Experience managing other managers, Experience scaling teams to 30+ engineers, Expertise in distributed systems, Experience with AWS, Azure, or GCP

Skills

Distributed SystemsSaaSCloud

About the role

Responsibilities

  • Define and drive the technical strategy for the Workspace Platform
  • Own the roadmap, execution, and delivery for the platform
  • Establish and enforce engineering excellence, including design reviews and testing strategies
  • Partner with cross-functional teams to ensure seamless integration of shared capabilities

Requirements

  • 15+ years of software engineering experience
  • 5+ years of engineering management experience, including managing other managers
  • Proven experience scaling engineering teams from 10 to 30+ engineers
  • Experience leading platform teams and backend developers in a SaaS environment
  • Expertise in designing and building scalable distributed systems
  • Familiarity with containerization technologies and major cloud platforms (AWS, Azure, GCP)

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

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Senior Engineering Manager

Databricks · San Francisco

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