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Salary
≈ $29k – $50k per year (Estimated)
Location
In office (India)
Seniority
Architect · 5+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

We are looking for a highly motivated AI & Automation Engineer to modernize and automate our Data Center and Infrastructure operations. In this role, you will be responsible for designing, building, and maintaining automation solutions that reduce manual effort, improve service reliability, enhance operational efficiency, and enable intelligent infrastructure management across Data Center, Compute, Storage, Backup, Network, and Hybrid Cloud platforms. You will work closely with Infrastructure Engineering, Operations, Security, Service Management, and Architecture teams to develop self-service capabilities, AI-powered operational insights, and automated workflows that support the transformation towards a modern, highly automated infrastructure platform. Automation and AI are strategic pillars in modern infrastructure organizations and are used to reduce manual activities, improve consistency, and free engineering teams from repetitive operational work

Key Responsibilities

Infrastructure Automation

  • Design and implement Infrastructure-as-Code (IaC) solutions.
  • Automate provisioning, configuration, patching, and lifecycle management of infrastructure platforms.
  • Develop and maintain automation frameworks using PowerShell, Python, Ansible, Terraform, and REST APIs.
  • Create reusable automation templates and standards.
  • Standardize infrastructure deployments across global environments. AI-Driven Operations
  • Develop AI-assisted operational workflows and self-healing capabilities.
  • Implement predictive analytics for capacity planning and infrastructure health monitoring.
  • Utilize AI technologies to identify anomalies, predict failures, and improve operational efficiency.
  • Develop and maintain AI agents and Copilot-based solutions to support infrastructure operations.
  • Design intelligent automation solutions that reduce Level 1 and Level 2 operational workload. Data Center Engineering
  • Support Data Center platforms including: o Compute o Virtualization o Storage o Backup o Networking o Hybrid Cloud o Azure Local environments
  • Drive automation initiatives for: o Capacity reporting o Infrastructure monitoring o Backup validation o Disaster Recovery testing o Server provisioning o Storage administration o Compliance verification Monitoring and Observability
  • Improve infrastructure visibility through integrated monitoring platforms.
  • Develop automated alerting and incident response workflows.
  • Correlate infrastructure events across multiple technology domains.
  • Implement observability dashboards and operational KPIs.
  • Create automated reporting and trend analysis solutions. Service Improvement
  • Identify repetitive operational tasks suitable for automation.
  • Build self-service capabilities for infrastructure consumers.
  • Measure and track automation benefits including: o Hours saved o Reduced incidents o Improved SLA compliance o Reduced operational costs o Faster service delivery Security and Governance
  • Ensure automation solutions comply with security and compliance standards.
  • Implement least-privilege principles and governance controls for AI and automation platforms.
  • Support audit requirements and infrastructure governance frameworks.
  • Maintain proper documentation and change management processes.

Skill Requirements

Education

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline. Experience
  • 5+ years working within Data Center, Infrastructure, Cloud, or Automation engineering.
  • Experience automating enterprise-scale infrastructure environments.
  • Experience with Infrastructure-as-Code methodologies.
  • Experience supporting large-scale production environments. Technical Skills Strong experience in several of the following areas: Automation
  • PowerShell
  • Python
  • Bash
  • Ansible
  • Terraform
  • Git
  • CI/CD pipelines Infrastructure
  • Azure Local
  • Windows Server
  • Linux
  • Storage platforms
  • Backup solutions Cloud
  • Azure
  • Hybrid Cloud
  • Azure DevOps Monitoring
  • Azure Monitor
  • Ops ramp
  • ServiceNow AI & Automation
  • Microsoft Copilot
  • Copilot Studio
  • AI Agents
  • API integrations
  • LLM-based automation solutions
  • Machine learning fundamentals
  • Red Hat Ansibel ________________________________________ Preferred Qualifications
  • Microsoft Azure certifications.
  • AI or machine learning certifications.
  • ServiceNow development experience.
  • Experience with enterprise ITSM processes.
  • Experience with Data Center modernization programs.
  • Experience designing self-healing infrastructure solutions.
  • FinOps knowledge and cloud cost optimization experience

Other Requirements

Personal Attributes

  • Strong analytical and problem-solving skills.
  • Curious and innovative mindset.
  • Passion for emerging AI technologies.
  • Ability to challenge traditional operational methods.
  • Excellent communication and stakeholder management skills.
  • Strong focus on business value and measurable outcomes.
  • Ability to work across global teams and cultures. ________________________________________ Success Measures Within the first 12 months, you will help achieve:
  • Increased infrastructure automation adoption.
  • Reduction of manual operational activities.
  • Increased self-service capabilities.
  • Improved infrastructure reliability and stability.
  • Reduced incident resolution times.
  • Expanded AI-assisted operational capabilities.
  • Improved infrastructure compliance and governance.
  • Demonstrable operational cost savings through automation and optimization initiatives.
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