L&T Off Campus Drive 2026 – CloudOps Engineer & AI/ML Engineer | Apply Online

## L&T Off Campus Drive 2026 – Details*:

L&T Off Campus Drive 2026 for CloudOps Engineer (L1):

• Infrastructure Monitoring: Continuously monitor the health, availability, and performance of servers, virtualization, Kubernetes, storage, backup, network, and GPU infrastructure using enterprise monitoring tools.
• Incident Management: Log, categorize, prioritize, and troubleshoot Level 1 incidents using SOPs and knowledge articles while ensuring SLA compliance.
• Windows & Active Directory Support: Perform user account administration, password resets, account unlocks, and basic Windows server health verification.
• Linux Operations Support: Monitor Linux server availability, service status, and system logs to identify operational issues.
• Virtualization Support: Monitor virtual machine availability, health, and resource utilization across virtualization platforms.
• Kubernetes Operations Support: Monitor Kubernetes clusters, nodes, pods, and services to ensure platform availability.
• Storage & Backup Support: Monitor storage health, capacity, and backup job execution to ensure operational continuity.
• Network & Infrastructure Diagnostics: Perform basic network diagnostics, connectivity verification, and infrastructure service validation.
• GPU Infrastructure Support: Monitor GPU server health, utilization, and hardware alerts to maintain operational readiness.
• Hardware Support: Perform basic hardware health checks and assist in diagnosing infrastructure component failures.
• Documentation & Reporting: Maintain accurate incident records, operational logs, and shift handover documentation. Follow SOPs, contribute to knowledge management, and report recurring issues for continuous service improvement.

Job Purpose: The Frontline Infrastructure Support Engineer (L1) serves as the first point of contact for infrastructure-related incidents and service requests. The role is responsible for continuous monitoring of enterprise IT infrastructure, performing initial diagnostics, executing predefined operational tasks, restoring services using standard operating procedures (SOPs), and escalating unresolved issues to L2/L3 teams while ensuring SLA compliance.

How to Apply for L&T Off Campus Drive 2026?

Interested and eligible candidates can apply for the drive online on or before 16 January 2027using the link below.

For More Details & To Apply: Click here.

L&T Off Campus Drive 2026 for AI/ML Engineer:

• Azure AI & Chatbot Development: Build AI-powered chatbots using Azure OpenAI, Azure Bot Service, Prompt Flow, and Cognitive Search.
• Video Analytics for Safety & Operational Monitoring: Develop and deploy deep learning–based video analytics models for PPE detection, safety violations, site hazard identification, and activity tracking.
• AI/ML for P&ID Processing & MTO Extraction: Build systems for automatic extraction of MTO (Material Take-Off) from P&IDs using computer vision, OCR, graph-based engineering entity mapping, and NLP-based reasoning for engineering validation
• Engineering Document Automation (EPC Use Cases): Work with Azure AI Foundry to fine tune models for Engineering Drawing Audit Automation.

• B.E/B.Tech or equivalent with Computer Science or Electronics & Communication
• 1–3 years in an IT Infrastructure Operations, NOC, Service Desk, or Data Center Operations environment.
• 24×7 support operations, enterprise monitoring tools, ITSM platforms (ManageEngine, ServiceNow, BMC Remedy, Jira), and basic cloud or virtualization environments.
• 1–3 years of hands-on experience in Infrastructure Monitoring, Incident Management, Windows/Linux Administration, Active Directory, Virtualization (VMware/Hyper-V), Kubernetes, Storage & Backup Monitoring, Network Diagnostics, and ITSM tools (e.g., ServiceNow).
• 1–3 years of experience in Hardware Support, Documentation, ITIL/SOP adherence, Shift Operations, Asset & Vendor Coordination, Customer Support, and Operational Reporting
• Freshers with strong academic grounding in AI/ML are highly encouraged
• Experienced engineers (2+ years) in AI/ML roles are welcome
• Must come from Computer Science or AI/ML specialization