Senior Administrator - Social Network Development, Network Automation

Experience: Not Available to Not Available years

Location: Nagpur, India

Skills: TCP/IP, Routing, Switching, DNS, VPN, network monitoring tools, observability platforms, AIOps, event correlation engines, Python, PowerShell, Bash, Ansible, Terraform, ITIL processes, ServiceNow, Remedy, Cisco, Juniper, SD-WAN platforms, MS Teams, Dynatrace, Splunk, Moogsoft, Azure Monitor, Grafana

Job Summary
Agentic AI & Automation – Network (L2) Job Description Role Summary The L2 Agentic AI & Automation – Network Engineer is responsible for managing and optimizing network operations through AI-driven monitoring, automation, and orchestration. The role focuses on intelligent event correlation, proactive issue resolution, automation of repetitive tasks, and continuous service improvement across network infrastructure.

Key Responsibilities
• Perform L2 network monitoring, incident analysis, and troubleshooting using AI-driven observability platforms
• Leverage agentic AI capabilities for autonomous event correlation, anomaly detection, and predictive insights
• Design, implement, and maintain automation scripts/workflows for network operations (e.g., incident response, remediation, patching)
• Analyze complex network events and collaborate with L3 teams for deep issue resolution
• Optimize alert thresholds and reduce noise through intelligent filtering and automation
• Ensure SLA/KPI adherence (MTTD, MTTA, MTTR) through proactive monitoring and automation
• Integrate monitoring tools with ITSM platforms (ServiceNow, Remedy) for automated ticketing and closure
• Support root cause analysis (RCA)



and drive automation-led preventive solutions
• Develop and maintain runbooks, playbooks, and SOPs for automated operations
• Identify opportunities for continuous improvement (CIP/SIP) through AI and automation adoption

Required Skills
• Strong knowledge of networking concepts (TCP/IP, Routing, Switching, DNS, VPN)
• Hands-on experience in network monitoring tools and observability platforms
• Exposure to AI/ML-based monitoring (AIOps, event correlation engines)
• Scripting/programming skills (Python, PowerShell, Bash)
• Experience with automation/orchestration tools (Ansible, Terraform, etc.)
• Good understanding of ITIL processes (Event, Incident, Problem Management)
• Experience with ITSM tools (ServiceNow, Remedy)
• Robust analytical and problem-solving skills

Preferred Qualifications
• Bachelor’s degree in Computer Science, IT, or related field
• Certifications: CCNA/CCNP, ITIL Foundation or higher
• Experience in AIOps or intelligent automation platforms
• Exposure to cloud networking (Azure, AWS) and SD-WAN concepts
• Experience in NOC/SOC 24x7 environment

Key KPIs
• Mean Time to Detect (MTTD)
• Mean Time to Acknowledge (MTTA)
• Mean Time to Resolve (MTTR)
• Automation coverage (%) of network operations
• Reduction in manual interventions
• Alert noise reduction (%)
• SLA adherence for incidents

Tools & Technologies
• Monitoring & AIOps: Dynatrace, Splunk, Moogsoft, Azure Monitor, Grafana
• Automation: Ansible, Python, PowerShell, Terraform
• ITSM: ServiceNow, Remedy
• Networking: Cisco, Juniper, SD-WAN platforms
• Collaboration: MS Teams, Incident Bridge Tools

📌 Senior Administrator Social Network Development, Network Automat (Nagpur)
🏢 HCL Technologies
📍 Nagpur