Senior Software Engineer, Cloud Data Storage - Temporal

Role Summary

Cloud Data Store (CDS) owns the storage, retrieval, and lifecycle of all workflow data at planet scale. We design the persistence APIs, build storage abstractions that run across cloud vendors, and deliver the observability that lets customers trust their state machines for years.

As a Senior Software Engineer, you will get the chance to design, build, and maintain significant portions of our backend functionality for highly scalable, multi-tenant services. You’ll own the custom persistence stack for Temporal Cloud which includes a Write Ahead Log, various metadata stores (Cassandra, etcd), multi-level caches, tiered storage, etc.

What You'll Do

• Design & build distributed data systems – craft APIs, schemas, and replication paths that keep petabytes of workflow history durable and query-able. Clearly document design choices and operational knowledge to successfully deploy and run services with those features.
• Drive reliability & performance – own SLOs, create chaos-test plans, profile hot paths, and lead incident reviews.
• Technical leadership – break down roadmap epics, mentor mid-level engineers, steward design docs through RFC.
• Cross-team collaboration – partner with the Server, Cloud, and DX teams to land features end-to-end.

What You'll Bring

• 5 or more years of experience as an "Arranger" and/or "Builder/Enhancer" of highly scalable distributed systems.
• Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency.
• Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels.
• Experience building and running services on AWS. Bonus: Microsoft Azure and Google GCP experience.

Nice to Have

• Prior contributions to Temporal, Cadence, or other workflow engines.
• Deep expertise in a storage domain (LSM trees, columnar stores, transactional logs, etc.).
• Operated multi-region, ≥99.99% uptime services.
• Experience working with Open Source Systems.
• Experience in building K8s controllers and/or CRDs is a plus.