Software Engineer, Storage, Distributed Caching

What you'll do

• Build and scale the Boulder key-value store, focusing on compaction, sharding, and domain isolation.
• Re-platform the Distributed Lock Service onto a strongly consistent backend with sharding capabilities.
• Develop self-serve tooling and a recommendation engine for customers to select appropriate backends based on workload profiles.
• Contribute to standardized smart caching clients that include built-in failover, retry, and observability defaults.
• Diagnose and resolve production issues related to cache invalidation, replication lag, and hot shards.
• Ship automation, guardrails, and observability tools to maintain high-scale distributed systems.
• Manage the provisioning of clusters and caching offerings to provide turnkey solutions for other engineering teams.

What we're looking for

• You must be located in San Francisco, Seattle, or the New York Metro Area.
• You must have 6+ years of full-time experience designing, building, and operating distributed, stateful systems in production.
• You must have experience involving caching or key-value storage at meaningful scale.
• You must be proficient in Go, or Java/Kotlin with deep expertise in concurrency, distributed systems, and production-grade backend services.
• You must have hands-on experience with distributed caching technologies like Redis/Valkey or Memcached and understand their failure modes.
• You must understand distributed systems fundamentals including consistency models, sharding, replication, and consensus.
• You must have experience building systems requiring careful capacity planning and cost discipline at scale.
• You must have proficiency in using AI coding tools in the full software development lifecycle (preferred).