IT Infrastructure Automation Engineer with GenAI (4+ Yrs)

Role : IT Infrastructure & Automation Engineer with GenAI

Exp : 4+ Yrs

Location : Mumbai (WFO)

Role Overview:

We are seeking a highly skilled IT Infrastructure & Automation Engineer with GenAI expertise to design, develop, and maintain automation solutions for IT operations and cloud environments. This role combines strong infrastructure knowledge with advanced automation and GenAI-driven development.

Key Responsibilities:

• Design and implement automation solutions for IT infrastructure and cloud platforms.
• Develop scripts and automation tools using Python (OOPs) , PowerShell , and Shell scripting .
• Build web-based automation dashboards and tools using Flask , Django , and FastAPI frameworks.
• Integrate Generative AI capabilities into automation workflows for predictive analytics, anomaly detection, and intelligent decision-making.
• Develop RAG (Retrieval-Augmented Generation) pipelines for contextual automation and knowledge retrieval using vector databases.
• Implement AI Agents for dynamic task orchestration and workflow automation.
• Create and manage Ansible playbooks and YAML configurations for infrastructure orchestration.
• Implement CI/CD pipelines using Git and Jenkins for automated deployments.
• Collaborate with cloud teams to automate provisioning and monitoring in AWS/Azure/GCP environments.
• Perform SQL development tasks including writing queries, stored procedures, and optimizing database operations for automation workflows.
• Ensure security, scalability, and reliability of automation solutions.

Required Skills & Expertise:

Infrastructure & Automation:

• Good knowledge of Windows Server and Linux OS , including basic Linux commands for administration and troubleshooting.
• Proficiency in Python with strong OOPs concepts .
• Development experience with Flask , Django , and FastAPI for web-based automation tools.
• Scripting expertise in PowerShell and Shell scripting for system automation.
• Hands-on experience with Ansible , YAML , and infrastructure automation.
• Knowledge of Cloud platforms (AWS/Azure/GCP) and automation in cloud environments.
• Familiarity with CI/CD tools : Git, Jenkins.
• SQL development skills : writing queries, stored procedures, and database optimization.
• Understanding of containers (Docker/Kubernetes) for deployment and scalability.

Generative AI & Advanced Automation:

• Strong understanding of Large Language Models (LLMs) and their application in IT automation.
• Hands-on experience with at least one GenAI framework such as LangChain , Lamaindex .
• Ability to design and implement RAG pipelines using vector databases (e.g., Pinecone, Weaviate, FAISS) for semantic search and contextual responses.
• Knowledge of AI Agents frameworks (LangChain Agents, AutoGPT, CrewAI) for dynamic task execution.
• Familiarity with prompt engineering , using REST APIs for AI services.