SeniorAdministrator - Social Network Development, Netwok Automation
India
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Job Description
SeniorAdministrator - Social Network Development, Netwok Automation
Noida, Uttar Pradesh

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) • Strong 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

Key Responsibilities

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) • Strong 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.

Skill Requirements

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) • Strong 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

Other Requirements

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) • Strong 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
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.
23 Benefits At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to: https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svg Industry-benchmarked compensation https://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svg Best-in-class healthcare benefits https://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svg Personal time off https://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svg Maternity and paternity benefits https://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svg Access to skills / higher education programs/resources https://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svg Discounts on products and services via Benefit Box https://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svg Participate in CSR programs and live life with a purpose https://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svg Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.