• Re-architect Temporal Visibility at scale • Lead the design and implementation of a new persistence layer for Temporal Visibility, informed by its real-world access patterns (high-volume writes, time-based queries, filtering, sorting, and pagination across long-running workflows). • Evaluate and select the most appropriate storage technologies (e.g., ClickHouse, Elasticsearch, or complementary systems), clearly articulating tradeoffs around indexing models, consistency, cost, latency, and operational complexity. • Design schemas, APIs, and query models that make Visibility both powerful and intuitive for customers. • Plan and execute online migrations of live Visibility data from existing persistence stores to new backends, at scale and without customer downtime. • Design dual-write, backfill, validation, and cutover strategies that prioritize correctness, observability, and rollback safety. • Build tooling and automation to validate data integrity and performance throughout the migration lifecycle. • Define and own SLOs for Visibility storage and query paths. • Profile hot paths, design benchmarks, and lead systematic performance tuning efforts. • Build operational playbooks, dashboards, and alerting that make the system understandable and debuggable for on-call engineers. • Lead incident reviews and reliability improvements related to persistence and indexing systems. • Break down large, ambiguous roadmap initiatives into concrete, executable phases. • Author and steward design docs and RFCs through review with peers and stakeholders. • Mentor and unblock other engineers working in the persistence and storage domain. • Partner closely with Server, Cloud, and Developer Experience teams to land features end-to-end.