Tata Consultancy Services
SME – Network Autonomy
Skills
23 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
30 September 2026
What they need
Role: SME – Network Autonomy
Experience: 15+ yrs
Bangalore, Chennai, Pune, Hyderabad
Desired Competencies
Must-Have:
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
Good-to-Have
1.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
- 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
- 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
Role descriptions:
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.
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