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Infrastructure Automation Lead

Infrastructure Automation Lead

HCLTechNoida, Uttar Pradesh, India
1 day ago
Job description

Locations - Noida, Chennai, Bengaluru, Hyderabad & Pune.

An AI Automation Lead with experience in AIOps, automation, GenAI, Terraform, and Ansible typically holds a strategic and technical leadership role, responsible for driving the adoption and implementation of AI-powered automation solutions across an organization's IT operations and infrastructure.

About the Role

Key Responsibilities :

Strategic Leadership :

  • Define and execute the vision and roadmap for AI-driven automation and AIOps initiatives.
  • Collaborate with senior stakeholders to identify high-impact automation opportunities and align solutions with business objectives.
  • Champion the adoption of AI automation practices and technologies across various departments.

Technical Design and Implementation :

  • Lead the design and architecture of end-to-end AI automation solutions, including infrastructure automation, intelligent process automation, and self-healing systems.
  • Oversee the implementation of AIOps platforms and tools for proactive incident detection, root cause analysis, and automated remediation.
  • Drive the integration of Generative AI (GenAI) models and frameworks (e.g., RAG, agentic workflows using LangChain, Bedrock, Vertex AI) to enhance automation capabilities.
  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform for automated infrastructure provisioning and management.
  • Utilize configuration management tools like Ansible for automated system configuration and deployment.
  • Team Leadership and Development :

  • Lead, mentor, and develop a team of automation engineers and specialists.
  • Foster a culture of innovation, continuous improvement, and technical excellence within the team.
  • Define team structure, roles, and responsibilities to maximize efficiency and collaboration.
  • Operational Excellence and Optimization :

  • Implement GitOps practices to streamline and automate deployment processes and ensure consistency.
  • Ensure compliance with security policies and best practices across all automation initiatives.
  • Monitor and optimize the performance and efficiency of AI automation solutions.
  • Required Qualifications.

  • Overall Experience of Minimum 15 years in IT Infrastructure Management / Architecture
  • Proven experience of at least 2 to 5 years in leading teams in the design, development, and implementation of automation solutions.
  • Deep expertise in AIOps principles and practical experience with AIOps platforms and tools.
  • Strong understanding and hands-on experience with Generative AI concepts, models (e.g., RAG, LLMs), and frameworks.
  • Proficiency in Infrastructure as Code (IaC) using Terraform.
  • Extensive experience with configuration management tools, particularly Ansible.
  • Solid understanding of cloud platforms (AWS, Azure, GCP) and their automation capabilities.
  • Experience with scripting languages (e.g., Python) for automation and AI / ML development.
  • Excellent leadership, communication, and problem-solving skills.
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