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

Job Summary

Agentic AI & Automation – Network (L3) Job Description Role Summary The L3 Agentic AI & Automation – Network Engineer is responsible for architecting, designing, and optimizing advanced AI-driven network monitoring, automation, and orchestration solutions. This role provides deep technical expertise, leads complex incident resolution, drives automation strategy, and ensures continuous service improvement through intelligent and autonomous operations. Key Responsibilities • Lead L3 troubleshooting for complex network incidents, involving deep analysis across multi-domain environments • Design and implement agentic AI solutions for autonomous network operations and self-healing systems • Develop advanced automation frameworks, reusable playbooks, and orchestration pipelines • Define event correlation logic, anomaly detection models, and predictive analytics use cases • Collaborate with architects and engineering teams to enhance observability and AIOps platforms • Drive integration between monitoring tools, automation platforms, and ITSM systems for closed-loop remediation • Conduct root cause analysis (RCA) for major incidents and define preventive automation strategies • Establish governance for automation, including version control, testing, and deployment standards • Lead SIP/CIP initiatives to improve operational efficiency and reduce MTTR • Mentor L1/L2 teams and provide technical leadership and knowledge sharing Required Skills • Expert-level knowledge of networking (Routing, Switching, DNS, VPN, Load Balancing, SD-WAN) • Strong experience in AIOps platforms and AI/ML-driven observability solutions • Advanced scripting/programming (Python, PowerShell, APIs integration) • Experience with automation and orchestration tools (Ansible, Terraform, CI/CD pipelines) • Deep understanding of ITIL processes (Event, Incident, Problem, Change Management) • Experience in complex, multi-vendor enterprise environments • Strong analytical, design, and problem-solving skills Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, IT, or related field • Certifications: CCNP/CCIE, ITIL Intermediate/Expert • Experience with cloud networking (Azure, AWS, GCP) and hybrid environments • Exposure to advanced AI/ML models, data analytics, and observability pipelines • Experience in large-scale 24x7 NOC/SOC environments Key KPIs • Mean Time to Detect (MTTD) • Mean Time to Acknowledge (MTTA) • Mean Time to Resolve (MTTR) • Automation maturity index (coverage and effectiveness) • Reduction in repeat incidents (%) • Self-healing success rate (%) • SLA compliance and service availability Tools & Technologies • AIOps & Observability: Dynatrace, Splunk, Moogsoft, Azure Monitor, Grafana • Automation & Orchestration: Ansible, Terraform, Python, CI/CD tools • ITSM: ServiceNow, Remedy • Networking: Cisco, Juniper, SD-WAN platforms • Cloud: Azure, AWS, GCP • Collaboration: MS Teams, Incident Bridge Platforms

Key Responsibilities

Agentic AI & Automation – Network (L3) Job Description Role Summary The L3 Agentic AI & Automation – Network Engineer is responsible for architecting, designing, and optimizing advanced AI-driven network monitoring, automation, and orchestration solutions. This role provides deep technical expertise, leads complex incident resolution, drives automation strategy, and ensures continuous service improvement through intelligent and autonomous operations. Key Responsibilities • Lead L3 troubleshooting for complex network incidents, involving deep analysis across multi-domain environments • Design and implement agentic AI solutions for autonomous network operations and self-healing systems • Develop advanced automation frameworks, reusable playbooks, and orchestration pipelines • Define event correlation logic, anomaly detection models, and predictive analytics use cases • Collaborate with architects and engineering teams to enhance observability and AIOps platforms • Drive integration between monitoring tools, automation platforms, and ITSM systems for closed-loop remediation • Conduct root cause analysis (RCA) for major incidents and define preventive automation strategies • Establish governance for automation, including version control, testing, and deployment standards • Lead SIP/CIP initiatives to improve operational efficiency and reduce MTTR • Mentor L1/L2 teams and provide technical leadership and knowledge sharing Required Skills • Expert-level knowledge of networking (Routing, Switching, DNS, VPN, Load Balancing, SD-WAN) • Strong experience in AIOps platforms and AI/ML-driven observability solutions • Advanced scripting/programming (Python, PowerShell, APIs integration) • Experience with automation and orchestration tools (Ansible, Terraform, CI/CD pipelines) • Deep understanding of ITIL processes (Event, Incident, Problem, Change Management) • Experience in complex, multi-vendor enterprise environments • Strong analytical, design, and problem-solving skills Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, IT, or related field • Certifications: CCNP/CCIE, ITIL Intermediate/Expert • Experience with cloud networking (Azure, AWS, GCP) and hybrid environments • Exposure to advanced AI/ML models, data analytics, and observability pipelines • Experience in large-scale 24x7 NOC/SOC environments Key KPIs • Mean Time to Detect (MTTD) • Mean Time to Acknowledge (MTTA) • Mean Time to Resolve (MTTR) • Automation maturity index (coverage and effectiveness) • Reduction in repeat incidents (%) • Self-healing success rate (%) • SLA compliance and service availability Tools & Technologies • AIOps & Observability: Dynatrace, Splunk, Moogsoft, Azure Monitor, Grafana • Automation & Orchestration: Ansible, Terraform, Python, CI/CD tools • ITSM: ServiceNow, Remedy • Networking: Cisco, Juniper, SD-WAN platforms • Cloud: Azure, AWS, GCP • Collaboration: MS Teams, Incident Bridge Platforms

Skill Requirements

Agentic AI & Automation – Network (L3) Job Description Role Summary The L3 Agentic AI & Automation – Network Engineer is responsible for architecting, designing, and optimizing advanced AI-driven network monitoring, automation, and orchestration solutions. This role provides deep technical expertise, leads complex incident resolution, drives automation strategy, and ensures continuous service improvement through intelligent and autonomous operations. Key Responsibilities • Lead L3 troubleshooting for complex network incidents, involving deep analysis across multi-domain environments • Design and implement agentic AI solutions for autonomous network operations and self-healing systems • Develop advanced automation frameworks, reusable playbooks, and orchestration pipelines • Define event correlation logic, anomaly detection models, and predictive analytics use cases • Collaborate with architects and engineering teams to enhance observability and AIOps platforms • Drive integration between monitoring tools, automation platforms, and ITSM systems for closed-loop remediation • Conduct root cause analysis (RCA) for major incidents and define preventive automation strategies • Establish governance for automation, including version control, testing, and deployment standards • Lead SIP/CIP initiatives to improve operational efficiency and reduce MTTR • Mentor L1/L2 teams and provide technical leadership and knowledge sharing Required Skills • Expert-level knowledge of networking (Routing, Switching, DNS, VPN, Load Balancing, SD-WAN) • Strong experience in AIOps platforms and AI/ML-driven observability solutions • Advanced scripting/programming (Python, PowerShell, APIs integration) • Experience with automation and orchestration tools (Ansible, Terraform, CI/CD pipelines) • Deep understanding of ITIL processes (Event, Incident, Problem, Change Management) • Experience in complex, multi-vendor enterprise environments • Strong analytical, design, and problem-solving skills Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, IT, or related field • Certifications: CCNP/CCIE, ITIL Intermediate/Expert • Experience with cloud networking (Azure, AWS, GCP) and hybrid environments • Exposure to advanced AI/ML models, data analytics, and observability pipelines • Experience in large-scale 24x7 NOC/SOC environments Key KPIs • Mean Time to Detect (MTTD) • Mean Time to Acknowledge (MTTA) • Mean Time to Resolve (MTTR) • Automation maturity index (coverage and effectiveness) • Reduction in repeat incidents (%) • Self-healing success rate (%) • SLA compliance and service availability Tools & Technologies • AIOps & Observability: Dynatrace, Splunk, Moogsoft, Azure Monitor, Grafana • Automation & Orchestration: Ansible, Terraform, Python, CI/CD tools • ITSM: ServiceNow, Remedy • Networking: Cisco, Juniper, SD-WAN platforms • Cloud: Azure, AWS, GCP • Collaboration: MS Teams, Incident Bridge Platforms

Other Requirements

Agentic AI & Automation – Network (L3) Job Description Role Summary The L3 Agentic AI & Automation – Network Engineer is responsible for architecting, designing, and optimizing advanced AI-driven network monitoring, automation, and orchestration solutions. This role provides deep technical expertise, leads complex incident resolution, drives automation strategy, and ensures continuous service improvement through intelligent and autonomous operations. Key Responsibilities • Lead L3 troubleshooting for complex network incidents, involving deep analysis across multi-domain environments • Design and implement agentic AI solutions for autonomous network operations and self-healing systems • Develop advanced automation frameworks, reusable playbooks, and orchestration pipelines • Define event correlation logic, anomaly detection models, and predictive analytics use cases • Collaborate with architects and engineering teams to enhance observability and AIOps platforms • Drive integration between monitoring tools, automation platforms, and ITSM systems for closed-loop remediation • Conduct root cause analysis (RCA) for major incidents and define preventive automation strategies • Establish governance for automation, including version control, testing, and deployment standards • Lead SIP/CIP initiatives to improve operational efficiency and reduce MTTR • Mentor L1/L2 teams and provide technical leadership and knowledge sharing Required Skills • Expert-level knowledge of networking (Routing, Switching, DNS, VPN, Load Balancing, SD-WAN) • Strong experience in AIOps platforms and AI/ML-driven observability solutions • Advanced scripting/programming (Python, PowerShell, APIs integration) • Experience with automation and orchestration tools (Ansible, Terraform, CI/CD pipelines) • Deep understanding of ITIL processes (Event, Incident, Problem, Change Management) • Experience in complex, multi-vendor enterprise environments • Strong analytical, design, and problem-solving skills Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, IT, or related field • Certifications: CCNP/CCIE, ITIL Intermediate/Expert • Experience with cloud networking (Azure, AWS, GCP) and hybrid environments • Exposure to advanced AI/ML models, data analytics, and observability pipelines • Experience in large-scale 24x7 NOC/SOC environments Key KPIs • Mean Time to Detect (MTTD) • Mean Time to Acknowledge (MTTA) • Mean Time to Resolve (MTTR) • Automation maturity index (coverage and effectiveness) • Reduction in repeat incidents (%) • Self-healing success rate (%) • SLA compliance and service availability Tools & Technologies • AIOps & Observability: Dynatrace, Splunk, Moogsoft, Azure Monitor, Grafana • Automation & Orchestration: Ansible, Terraform, Python, CI/CD tools • ITSM: ServiceNow, Remedy • Networking: Cisco, Juniper, SD-WAN platforms • Cloud: Azure, AWS, GCP • Collaboration: MS Teams, Incident Bridge Platforms
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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.