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VP - Database Engineering
Описание вакансии
Текст:
TL;DR
VP - Database Engineering: Leading the vision, strategy, and execution for ’s cloud-native database platform, supporting core traffic and expanding across public clouds. Focus on defining the long-term vision, driving architectural decisions for a globally distributed, multi-tenant database system, and ensuring operational excellence at extreme scale.
Location: Must be based in the US (San Francisco, California or Seattle, Washington)
Company
builds and operates a cloud-native database platform that supports all core traffic, forming the foundation of customer trust, availability, and scale across its ecosystem.
What you will do
- Define and own the long-term technical and organizational vision for ’s cloud-native database platform.
- Lead the design, development, and evolution of a globally distributed, multi-tenant database system.
- Drive architectural decisions across storage, replication, consistency models, failover, disaster recovery, and data durability.
- Own SLAs for availability, latency, and durability, and lead database-related incident management.
- Hire, build, and scale a world-class, geographically distributed engineering organization.
- Communicate complex technical concepts clearly to executive leadership and stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
- 20+ years of overall engineering experience, with 10+ years leading large, multi-level engineering organizations.
- Deep expertise in distributed systems, databases, or large-scale storage platforms.
- Proven experience owning and operating cloud-based, mission-critical services at B2C scale.
- Strong background in service ownership, operational excellence, and 24×7 production systems.
- Excellent written and verbal communication skills, with the ability to engage both executives and deeply technical audiences.
Nice to have
- Experience building or operating cloud-native, multi-tenant database platforms.
- Working knowledge of public cloud technologies (GCP, AWS, Azure) and large enterprise cloud migrations.
- Experience partnering with public cloud platform teams and enabling large-scale platform transitions.
- Strong grounding in data structures, algorithms, and object-oriented programming.
- Agile mindset with experience operating in Scrum/Agile environments.
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