SME Network Autonomy Organization

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

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, Amazon Web Services (AWS), Ansible, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Automation, Automation Systems, BGP, C++ Programming Language, Cloud Computing, Computer Security, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Modeling, Data Science, DevOps, Ecosystems, GCP (Good Clinical Practices), Go Programming Language (Golang), JSON, Leadership, MPLS (Multi-Protocol Label Switching), Mentoring, Metrics, Microsoft Windows Azure, Network Administration/Management, Network Simulation, Open Shortest Path First Protocol (OSPF), Performance Metrics, Production Control, Production Systems, Public Cloud, Python Programming/Scripting Language, Root Cause Analysis, Security Attacks, Software Engineering, Team Lead/Manager, Telemetry, Vendor/Supplier Selection, Web Client Plug-ins, Wide Area Network (WAN)