Job Purpose
We are seeking a highly experienced DevOps Engineer with exceptional expertise in AI-enabled Cloud Engineering, Observability, Operational Intelligence, and AI-driven automation. The ideal candidate will bring 5 to 8+ years of enterprise-level Devops experience, with a focus on building creative AI-enabled platforms, data-driven automation frameworks, and enterprise-grade AIOps solutions to advance operational efficiency.

Role Summary
Key Responsibilities
Design and deliver scalable AI-powered DevOps solutions for large enterprise platforms to improve MTTR, achieve automated incident resolution, and drive operational excellence
Develop and optimize MLOps pipelines and model deployment workflows leveraging clustering, topic modeling, and anomaly detection techniques
Create and automate solutions for Cloud Platforms and Infrastructure with L&T; Vyoma, Terraform, CloudFormation, and Helm, alongside Python and Shell Scripting
Drive Kubernetes-based container orchestration and DevSecOps initiatives, including CI/CD pipelines, Istio, and KEDA deployment strategies




Ensure seamless ITSM integration for AI-driven operations and automation
Drive Infrastructure-as-Code practices using tools like Terraform and Ansible.
Drive Site Reliability Engineering (SRE) practices to ensure high availability and resilience.
Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK).
Robust problem-solving skills with a proactive, self-driven approach.
Knowledge of FinOps and cloud cost optimization strategies
Integrate security practices into the DevOps pipeline, ensuring compliance and risk management.
Experience with OpenStack, serverless architecture, understanding of DevSecOps practices and security automation
Innovation mindset with focus on enterprise impact

Experience & Educational Requirements
Qualifications and Experience
EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required)
BE/B-Tech or eq

📌 Devops Engineer Manapakkam
🏢 LT-Larsen & Toubro
📍 Manapakkam