Distributed Systems Engineer

Our storage layer spans dozens of bare-metal nodes across multiple colocation facilities. We need an engineer who understands distributed consensus, replication, and failure detection to help us build the next generation of our storage fabric.

Responsibilities

• — Design and implement distributed storage and consensus protocols
• — Build failure detection, leader election, and automatic failover systems
• — Optimize data placement and replication strategies across geographic regions
• — Write rigorous tests — Jepsen-style partition testing, fault injection, chaos engineering
• — Debug subtle concurrency, ordering, and consistency issues in production
• — Author design documents and architecture decision records

Requirements

• — 6+ years of systems engineering experience
• — Deep understanding of distributed systems theory — consensus (Raft, Paxos), CAP, CRDTs
• — Strong systems programming in Rust, Go, or C++
• — Experience building and operating distributed systems in production
• — Comfortable reasoning about consistency models and failure modes
• — Excellent written communication and design documentation skills

Nice to Have

• — Experience with distributed storage systems (Ceph, TiKV, FoundationDB)
• — Published research or conference talks on distributed systems
• — Experience with formal specification (TLA+, Alloy)
• — Background in database internals

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