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World LabsWorld LabsSan Francisco, CA

Staff Platform Engineer (Databases & Storage)

Owns design, architecture, and operation of database and storage systems for high-throughput, low-latency AI platform workloads. Requires 8+ years experience with transactional databases like Spanner, Postgres; expertise in data modeling, distributed systems, and production reliability.

Salary not listed
On-site8+ YOEDevOps / SRE

About the role

Responsibilities

  • Own the design and evolution of the transactional systems that power the platform
  • Define architecture for database and storage systems under high-throughput, low-latency workloads
  • Make and drive decisions around data modeling, indexing, replication, and consistency
  • Debug and resolve complex production issues, including contention, replication behavior, and performance bottlenecks
  • Establish standards for reliability, observability, and operability across the platform
  • Partner with product and research teams to support evolving and often ambiguous requirements
  • Drive improvements in performance, scalability, and cost across the system
  • Mentor engineers and raise the bar for system design and technical decision-making

Requirements

  • 8+ years of experience building and operating production systems at scale, with ownership of critical infrastructure
  • 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 where tradeoffs are non-trivial
  • 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

Preferred

  • 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

Skills

SpannerPostgresMySQLDistributed SystemsData ModelingIndexingReplicationConsistencyTransactionsConcurrencyObservability

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