Infrastructure Automation Lead

4 days ago

India HCLTech Full time

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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