Senior Software Engineer, Cloud Data Storage
Designs and builds scalable distributed cloud data storage systems, ensuring durability, reliability, and performance for petabyte-scale workflow history. Requires 5+ years in distributed systems with Go/Java and AWS experience, plus technical leadership.
About the job
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 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.
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 Cloud 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 Kubernetes controllers and/or CRDs is a plus
Compensation
- Estimated pay range: $176,000 - $237,600.
- Eligible to participate in Temporal's equity plan.
Skills
Go, Java, AWS, Distributed Systems, Kubernetes, GCP, Azure, APIs, SLOs, Chaos Engineering
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