Must Have Technical/Functional Skills
Networking Expertise
• Deep protocol level knowledge of BGP, OSPF, MPLS, VXLAN, and SD WAN
• Experience operating and troubleshooting carrier grade or hyperscale networks
AI/ML & GenAI
• Hands on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection)
• Familiarity with ML frameworks such as TensorFlow or PyTorch
Software & Automation
• Expert proficiency in Python (preferred), Go, or C++
• Strong experience with CI/CD pipelines and DevOps practices
• Extensive use of Ansible and Terraform for network automation
Cloud Native Networking
• Experience managing network functions in Kubernetes environments (CNI plugins)
• Hands on exposure to public cloud networking across AWS, Azure, and GCP
Roles & Responsibilities
The Senior Network Autonomy Lead will define and execute the vision for next-generation autonomous networks. The role is responsible for overall architecture design, AI/ML platform selection, and the delivery of closed-loop automation systems that proactively predict failures, dynamically optimize traffic, and autonomously mitigate security threats.
You will lead cross-functional teams spanning networking, data science, software engineering, and cloud platforms to operationalize autonomy at scale across multi-vendor and hybrid environments.
Generic Managerial Skills:
Strategic Vision & Roadmap
• Define and own a multi-year roadmap for network autonomy, spanning Autonomy Levels 0 through to Level 5
• Drive the organizational transition from Infrastructure-as-Code (IaC) to Intent-Based Networking (IBN)
• Evaluate, pilot, and integrate advanced technologies such as Digital Twins for network modeling, simulation, and optimization
• Establish KPIs and success metrics for autonomy maturity, resiliency, and operational efficiency
2. Technical & Architecture Leadership
• Architect and oversee AI/ML-driven platforms for predictive maintenance, anomaly detection, and root-cause analysis
• Lead the design and implementation of closed-loop automation systems where networks observe, decide, and act without human intervention
• Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi-vendor domains
• Ensure scalability, resilience, and security of autonomous control loops in production environments
3. Cross-Functional Leadership
• Lead and mentor senior engineers, architects, and data scientists
• Partner with security, cloud, and platform teams to embed autonomy across the infrastructure stack
• Influence product, procurement, and vendor ecosystems to align with the autonomy vision
Salary Range: $150,000-$180,000 a year
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