Staff Platform Engineer (databases & Storage)

World Labs World Labs · AI Frontier · San Francisco, CA · Platform

Staff Platform Engineer responsible for the database and storage foundation of an AI company, focusing on designing, scaling, and operating core data systems under evolving and ambiguous requirements. The role involves architectural decisions for transactional systems, data modeling, replication, consistency, and performance, aiming to create simple, reliable, and predictable systems.

What you'd actually do

  1. Own the design and evolution of the transactional systems that power the platform
  2. Define architecture for database and storage systems under high-throughput, low-latency workloads
  3. Make and drive decisions around data modeling, indexing, replication, and consistency
  4. Establish standards for reliability, observability, and operability across the platform
  5. Partner with product and research teams to support evolving and often ambiguous requirements

Skills

Required

  • 8+ years of experience building and operating production systems at scale
  • Strong experience designing and operating transactional systems and databases (Spanner, Postgres, MySQL, or similar)
  • Deep understanding of data modeling, indexing, transactions, concurrency, and consistency tradeoffs
  • Experience owning systems with strict reliability and performance requirements in production
  • Strong experience debugging complex production issues and reasoning about failure modes
  • Experience designing distributed systems or large-scale infrastructure
  • Proven ability to define architecture and drive technical decisions end-to-end
  • Strong judgment in balancing performance, reliability, and cost
  • Ability to operate effectively in ambiguous, fast-moving environments with high ownership

Nice to have

  • Experience with database internals, storage systems, or query engines
  • Experience building infrastructure for AI/ML systems or data platforms
  • Experience in early-stage or high-growth environments

What the JD emphasized

  • ownership of critical infrastructure
  • strict reliability and performance requirements
  • ambiguous, fast-moving environments with high ownership