DevOps AI Engineer (India)

DevOps AI Engineer (India)

14 Aug
|
LTIMindtree
|
India

14 Aug

LTIMindtree

India

Job Title- DEVOPS-AI

Total Exp - 5 - 19 Years

Location- Pune,Mumbai, Chennai, Hyderabad, Bangalore, Noida, Kolkata

Notice Period - Immediate Joiners to 30 Days Only

Mode- Hybrid

We are looking for an experienced DevOps AI Engineer with strong hands-on experience in DevOps, Python, AI/LLM technologies, Prompt Engineering, and cloud platforms. The candidate will be responsible for designing and developing AI-powered DevOps agents, automating CI/CD pipelines, infrastructure management, monitoring, troubleshooting, and operational workflows.

Key Responsibilities

Develop AI agents for DevOps automation, CI/CD deployments, monitoring, and operational workflows.

Design and develop LLM-based tools and AI agents using Prompt Engineering, APIs, and AI frameworks.

Automate infrastructure provisioning, configuration, and management using DevOps and Infrastructure as Code tools.

Integrate AI/LLM solutions with DevOps pipelines, platforms, and operational workflows.

Develop AI-powered tools for log analysis, troubleshooting, incident management, and operational automation.

Build and integrate AI copilots and automation solutions for DevOps and Platform Engineering.

Develop and maintain CI/CD pipelines for application and infrastructure deployments.

Deploy and manage AI-powered DevOps solutions across cloud platforms.

Collaborate with DevOps, Platform Engineering, Cloud, Development, SRE, and AI/ML teams.

Implement monitoring, observability, and automated operational workflows using relevant tools and technologies.

Support the development of RAG-based solutions and AI agents where applicable.





Ensure scalability, reliability, security, and maintainability of AI-powered DevOps solutions.

Mandatory Skills

12–16 years of overall experience in DevOps / Platform Engineering.

Strong hands-on experience in Python programming.

Solid experience with Azure API Management.

Strong experience with Azure App Service.

Strong experience with Azure Functions.

Strong hands-on experience in Prompt Engineering.

Strong understanding of DevOps processes and CI/CD pipelines.

Experience with Docker and Kubernetes.

Experience with Infrastructure as Code tools such as Terraform.

Experience integrating AI/LLM solutions with DevOps platforms and workflows.

Strong understanding of cloud platforms, preferably Azure.

Experience with APIs and automation.

Strong analytical, troubleshooting, and problem-solving skills.

Good to Have

Experience with LangChain, AutoGen, or other AI Agent frameworks.

Experience with RAG architectures and implementation.

Knowledge of Vector Databases.

Experience with GitOps and MLOps practices.

Experience building AI copilots or AI-powered automation tools.

Experience with Jenkins and GitHub Actions.

Knowledge of OpenAI APIs and LLM-based applications.

Experience with monitoring tools such as Prometheus and Grafana.

Exposure to AWS or GCP cloud platforms.

Experience with AI-powered log analysis, incident automation, and DevOps troubleshooting.

Experience in integrating AI agents with CI/CD pipelines.

Education

Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

📌 DevOps AI Engineer (India)
🏢 LTIMindtree
📍 India

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