Description

Job Description:-

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

Key Skills

Education

Any Graduate