L & T Case Equipment Private Limited
Website:
larsentoubro.com
Company:
https://www.linkedin.com/company/l-&-t-case-equipment-private-limited
Seniority: Not Applicable
Industries: Industrial Machinery Manufacturing
Job details:
LNT/NTL/1830224
- IU72-Larsen & Toubro – Vyoma
- Chennai
- Posted On13 Aug 2026
- End Date09 Feb 2027
- Required Experience10 - 16 years
Skills
Knowledge & Posting Location
NOC Network LAN WAN ITSM Application
Minimum Qualification
Bachelor of Technology (BTech)
Job Description
Job Purpose
Provide Level-3 technical leadership and expert support for COLO, ISP connectivity, Cloud, and AI GPU Data Center infrastructure by leading the resolution of complex incidents, driving root cause analysis, automation, and continuous service improvements. Ensure the availability, performance, scalability, and security of mission-critical infrastructure through collaboration with engineering, vendors, and operations teams while adhering to ITIL processes and SLA commitments.
Roles & Responsibilities
- Provide technical leadership for the 24×7 operation of COLO, ISP, AI GPU Cloud, and Data Center infrastructure.
- Lead the resolution of critical (P1/P2) incidents, major service outages, and complex technical escalations.
- Perform advanced troubleshooting and Root Cause Analysis (RCA) across network, compute, storage, cloud, virtualization, and security infrastructure.
- Own Problem Management activities by identifying recurring issues and implementing permanent corrective and preventive actions.
- Design, optimize, and continuously improve Data Center, cloud, and monitoring architectures to enhance service availability and operational efficiency.
- Develop and implement automation, orchestration, and operational tooling to reduce manual effort and improve service reliability.
- Define and maintain operational standards, monitoring strategies, alert thresholds, SOPs, runbooks, and knowledge base documentation.
- Review and approve technical procedures, operational documentation, and standard operating practices & Support Compliance Audits.
- Drive capacity planning, performance optimization, scalability, and high-availability initiatives for Data Center and AI GPU infrastructure.
- Provide technical governance for enterprise networking, cloud connectivity, security infrastructure, and observability platforms.
- Collaborate with Infrastructure, Cloud, Security, Platform Engineering, Application, Facilities, and Vendor teams to resolve complex technical issues.
- Lead technical support during planned maintenance, software upgrades, migrations, disaster recovery, and business continuity exercises.
- Participate in architecture reviews, technology evaluations, and infrastructure lifecycle planning.
- Ensure compliance with security policies, governance standards, operational procedures, and SLA/OLA commitments.
- Lead operational readiness reviews for new services, infrastructure deployments, and production transitions.
- Mentor and provide technical guidance to NOC L1/L2 engineers through knowledge transfer, technical reviews, and operational coaching.
- Provide expert support for AI GPU clusters, InfiniBand/Ethernet fabrics, Kubernetes platforms, distributed storage, and high-performance networking.
- Optimize monitoring, alert correlation, and observability across GPU, compute, storage, and network infrastructure using enterprise monitoring platforms.
- Lead service restoration during large-scale infrastructure failures and coordinate technical bridge calls with OEMs, cloud providers, and engineering teams.
- Analyze infrastructure performance trends and recommend architecture enhancements to improve scalability, resilience, and operational efficiency.
Experience & Educational Requirement
BE/B-Tech or equivalent with Computer Science or Electronics & Communication
Relevant Experience
- 8–15 years of experience in Enterprise Network Operations, Data Center Operations, Cloud Infrastructure, or Managed Services environments.
- Expert knowledge of Data Center networking, including LAN/WAN, TCP/IP, MPLS, EVPN-VXLAN, Spine-Leaf architectures, BGP, OSPF, IS-IS, VLANs, STP/MSTP, VRRP/HSRP, QoS, and High Availability.
- Hands-on experience with enterprise networking platforms such as Cisco, Juniper, Arista, NVIDIA, DELL and Data Center switching and routing technologies.
- Strong experience supporting Firewalls, VPNs, Load Balancers (F5 or equivalent), DNS, DHCP, NTP, SNMP, Syslog, and network security operations.
- Extensive experience in COLO and Cloud Data Center environments, including Azure, AWS, and hybrid cloud networking.
- Strong knowledge of Linux/Windows administration, virtualization platforms, storage, backup, and enterprise infrastructure services.
- Experience with enterprise Network Monitoring, Observability, and AIOps platforms, including SolarWinds, Prometheus, Grafana, Splunk/ELK, Checkmk, NetQ/UFM, or equivalent tools.
- Experience with ITSM platforms such as Zoho, ServiceNow, BMC Remedy, or Jira Service Management, with a strong understanding of Incident, Problem, Change, and Major Incident Management aligned to ITIL.
- Experience with automation and Infrastructure as Code (IaC) using Python, PowerShell, Ansible, Terraform, or equivalent technologies.
- Knowledge of Kubernetes, container platforms, and cloud-native infrastructure operations is highly desirable.
- Strong understanding of Industry security standards like ISO 27001, PCI-DSS, SOC-1&2
- Strong analytical, Root Cause Analysis (RCA), performance optimization, and capacity planning skills.
- Proven leadership, stakeholder management, technical mentoring, and cross-functional collaboration skills.
- ITIL Foundation/Intermediate certification.
- CCNP Enterprise or CCIE (preferred).
- Cloud certifications such as Microsoft Azure Administrator/Architect, AWS SysOps Administrator/Solutions Architect, or equivalent.
- Vendor certifications from Juniper (JNCIP/JNCIE), Arista (ACE), Red Hat (RHCSA/RHCE), VMware (VCP), or equivalent is an added advantage.
- Experience supporting AI GPU clusters, NVIDIA InfiniBand/Ethernet fabrics, high-performance storage, and large-scale Kubernetes environments.
- Familiarity with GPU monitoring, fabric telemetry, distributed storage, and observability platforms used in AI/HPC environments.
- Experience in automation and operational optimization for hyperscale or AI Cloud Data Centers.
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