D. in Computer Science, Distributed Systems, Networking, or a related technical discipline Deep domain knowledge in cloud networking architectures, Software-Defined Networking (SDN) control planes, L3/L4 routing protocols, overlay networks, and Linux networking constructs (such as eBPF, XDP, or OVS) Hands-on experience implementing or tuning distributed consensus algorithms (such as Raft or Paxos) and closed-loop control systems or reconciliation controllers Experience architecting high-throughput telemetry pipelines and automated anomaly detection systems for real-time network health analysis Proven ability to digest academic papers and industry research, translating state-of-the-art resilience concepts into production systems History of notable open-source contributions, technical publications, or patent filings in distributed networking and systems reliability. This role is ideal for someone who loves taking a deep, formal understanding of distributed systems, control theory, graph algorithms, or fault-tolerant design patterns and turning it into resilient, real-world software running in production at enormous scale.