Platform Engineer (Databases & Storage)

About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating.We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users. Role Overview We’re looking for a Senior Platform Engineer — Databases Storage to join the team at World Labs. In this role, you will own and evolve the transactional and storage backbone of our platform — the systems responsible for reliably storing, serving, and scaling the core data that powers both our products and our research. You’ll work on problems across OLTP systems, storage, and distributed infrastructure , designing systems that are fast, reliable, and simple to operate . You will operate as a senior technical leader , helping shape architecture, guiding other engineers, and setting a high bar for execution. This is a highly impactful role at the intersection of infrastructure, product, and research , where your work directly affects developer velocity, system reliability, and overall cost (TCO) of the platform. What You Will Do: Design, build, and operate the transactional backbone (OLTP systems) of the World Labs platform Architect and scale database and storage systems for high-throughput, low-latency workloads Own data modeling, indexing strategies, and query performance across critical services Debug and resolve complex production issues (e.g., contention, replication, performance bottlenecks) Build systems that are reliable, observable, and cost-efficient , with strong operational rigor Partner closely with product engineers to enable fast iteration and a great developer experience Collaborate with research teams to support evolving data pipelines and model workflows Drive improvements in reliability, scalability, and performance across the platform Mentor engineers and contribute to building a high-trust, high-performance engineering culture Key Qualifications: 5–10+ years of experience building and operating production systems at scale, with ownership of critical infrastructure Strong experience designing and operating OLTP systems and transactional databases (e.g., Postgres, MySQL, or similar) Deep understanding of data modeling, indexing, transactions, concurrency, and consistency tradeoffs Proven experience owning systems with high reliability and performance requirements in production environments Strong experience debugging real-world production issues (e.g., latency, contention, replication, failure modes) Experience designing and scaling distributed systems or large-scale infrastructure Demonstrated ability to lead technical decisions and drive projects end-to-end Strong ability to balance performance, reliability, and cost (TCO) in system design Experience operating in ambiguous, fast-moving environments, with a bias toward execution Strong collaboration skills across engineering, product, and research teams Preferred Qualifications: Experience building infrastructure for AI/ML systems or data platforms Familiarity with large-scale data pipelines, training systems, or model infrastructure Experience with storage systems, query engines, or distributed databases Prior experience in startup or early-stage environments Experience mentoring engineers or acting as a technical lead for a system or domain Who You Are: Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible. Resilient Builde ... (truncated, view full listing at source)