Staff Software Engineer, Cloud Data Storage

Temporal Technologies is seeking a Staff Software Engineer to work on its Cloud Data Store platform. The role focuses on designing, building, and maintaining highly scalable, multi-tenant backend services, including persistence APIs, storage abstractions, metadata stores, caches, and tiered storage. The engineer will also drive reliability and performance, provide technical leadership, and collaborate across teams.

Responsibilities:

• 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 service 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

Requirements:

• 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
• Experience with Elastic Search and/or Clickhouse
• Bonus: Microsoft Azure and Google GCP experience
• 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