Engineering Manager, Data Protection - FoundationDB

Cupertino, CA, US • Posted 4 days ago • Updated 1 day ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Cloud Computing
  • Data Security
  • Backup & Restore
  • Customer Facing
  • People Management
  • Software Engineering
  • Data Storage
  • Online Production
  • Data Integrity
  • Conflict Resolution
  • Problem Solving
  • Backup
  • Recovery
  • Change Data Capture
  • Replication
  • Scheduling
  • Workflow
  • Database
  • Storage

Summary

Apple's FoundationDB team is seeking an Engineering Manager to lead data protection systems for one of the most advanced distributed databases in production today. FoundationDB powers Apple's most critical cloud services, and this role is central to ensuring data durability, integrity, availability, and cost-efficient storage at massive scale.

This role focuses on building and evolving FoundationDB's data protection capabilities, including fast backup and restore, change-data-capture, tiered storage systems, and client-facing APIs. \n\nYou will lead efforts to create highly available backup systems that can also serve as active replicas for online workloads, significantly improving availability and storage efficiency. This work sits at the intersection of database internals, storage engines, and distributed execution.

3+ years of people management experience leading software engineering teams.\nStrong background in distributed systems and storage technologies.\nExperience with backup, restore, or replicated storage systems at scale.\nExperience directly supporting or owning online production systems or customer-deployed production systems.\nSolid understanding of transactional systems and data integrity principles.\nExperience working with RocksDB or similar storage engines.\nStrong problem-solving skills and ability to lead complex technical initiatives.

Experience designing or operating large-scale backup and recovery systems.\nFamiliarity with change-data-capture and data replication pipelines.\nExperience with parallel task execution, scheduling, or distributed workflows.\nBackground in database internals or storage engine development.\nExperience balancing reliability, performance, and cost in production systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: a31179b95099f3dc5f3ba407cf6aaf16
  • Posted 4 days ago
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