Distinguished Technologist, Agentic AIOps & Self-Driving Networks

What you'll do

• Own end-to-end assurance and shared network data architecture, including telemetry, correlation, root cause analysis, remediation, and outcome verification.
• Architect agentic orchestration and safety controls; establish evaluation practices and choose appropriately among graph reasoning, classical ML, and generative AI.
• Influence stakeholders across business units and mentor senior technical leaders.

What they ask for

• 15+ years building and operating large distributed systems in production, with engineering and architectural leadership.
• Networking breadth across campus, data center, WAN/SD-WAN, and security, with depth in at least three; deep networking fundamentals.
• Experience with graph systems, production AIOps or observability, applied AI, and cloud-native systems at scale.
• Strong hands-on Python and Go coding; demonstrated Principal or Distinguished-level impact across multiple organizations.

Nice to have

• Bachelor's, Master's, or PhD in computer science, engineering, or a related discipline.

Pay

USD 194,000 - 412,500 (base salary)

Tools

EVPN-VXLAN, BGP, SAI, gNMI/OpenConfig, MCP, Kubernetes, Kafka, Python, Go

AI focus

Architects LLM agents, tool calling, MCP, multi-agent orchestration, and agent evaluation; applies classical ML and time-series modeling, and sets when to use generative AI versus graph reasoning or ML.