
Senior Software Engineer, Cloud Data Storage
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in Washington.
• Design and develop distributed data systems, encompassing APIs, schemas, and replication pathways for resilient, queryable petabytes of workflow history.
• Document design decisions and operational knowledge necessary for the deployment and maintenance of services.
• Take ownership of service-level objectives, formulate chaos-testing plans, and analyze performance-critical pathways.
• Lead reviews of incidents.
• Decompose roadmap epics and provide mentorship to mid-level engineers.
• Guide design documents through the Request for Comments (RFC) process.
• Collaborate with Server, Cloud, and DX teams to ensure end-to-end feature delivery.
• Manage the custom persistence stack for Temporal Cloud, which includes a Write Ahead Log, metadata storage, multi-tier caches, and tiered storage.
• A minimum of 5 years of experience as an "Arranger" and/or "Builder/Enhancer" of highly scalable distributed systems.
• Strong foundational knowledge in computer science principles related to distributed systems, including multi-threading and concurrency.
• Proficiency in writing concurrent production code in Go, Java, or other relevant languages at an Intermediate, Advanced, or Expert level.
• Experience in building and managing services on AWS.
• Familiarity with Microsoft Azure and Google GCP is a plus.
• Previous contributions to Temporal, Cadence, or other workflow engines are advantageous.
• In-depth expertise in a storage domain such as LSM trees, columnar stores, or transactional logs is a plus.
• Experience in operating multi-region services with a minimum uptime of 99.99% is desirable.
• Experience with Open Source Systems is a bonus.
• Familiarity with building Kubernetes controllers and/or Custom Resource Definitions (CRDs) is an asset.
• Equity.
• Flexible remote work arrangement.
• Option to opt out of AI interview recording without affecting candidacy.
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