Staff Network Production Engineer, Network Ops

Responsibilities

• Implement and operate the global edge, backbone, and data center network for high-performance compute (HPC) clusters with GPUs.
• Monitor network performance and perform advanced troubleshooting and root-cause analysis for incidents; guide post-mortem reviews and improvements.
• Execute network changes across data centers, backbone, and edge infrastructure to implement next-generation designs, scale capacity, and improve network reliability.
• Manage, optimize, and address immediate needs versus long-term goals for the entire network, including frontend, backend, backbone, edge, and public-cloud connectivity.
• Collaborate with Network Engineering and cross-functional teams to ensure the network meets business needs.
• Lead operational-excellence initiatives by developing monitoring, alerting, and systems that ensure high network availability.
• Mentor network engineers and establish best practices for incident response, documentation, and operational readiness.
• Manage vendor relationships and contracts related to network services and equipment.
• Provide visibility into network health through detailed metrics, event statistics, and performance analysis.
• Participate in 24/7 on-call support for the network.

Requirements

• 10+ years of related experience operating at scale in a production environment.
• Strong knowledge of TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, and MPLS-related technologies such as RSVP-TE and LDP.
• Strong understanding of network monitoring protocols and tools, including SNMP, IPFIX, sFlow/NetFlow, and telemetry.
• Familiarity with data center, backbone, and edge network architecture and implementations.
• Experience with scripting, coding, or programming—Python or similar—to automate operational tasks and build tooling.
• Hands-on experience with major network devices from Mellanox, Cisco, Arista, Juniper, and other mainstream vendors.
• Familiarity with commercial switch/router chipsets such as Broadcom and Barefoot.
• Knowledge of public-cloud connectivity options for AWS, Google Cloud, Azure, Alibaba Cloud, and OCI.
• Understanding of IPv6, IPv4, and IPv4/IPv6 coexistence technologies.
• Experience with network observability, flow analytics, and dashboarding tools such as NSG, Kentik, Grafana, Arbor, ThousandEyes, Catchpoint, and Packet Design.
• Bachelor's degree in Computer Science, Information Science, Engineering, Mathematics, or a related field, or equivalent experience based on three or more years of work experience.

Nice to Have

• Familiarity with backend technologies such as InfiniBand (IB), RoCE, or Spectrum-X.

Compensation and Benefits

• Competitive benefits package including pension contributions, private health and dental insurance, income protection, and life assurance.
• Compensation may be paid as salary or hourly and is determined by education, experience, knowledge, skills, abilities, internal equity, and market data.