Devops Engineer

Larsen & Toubro; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Larsen & Toubro is seeking a senior DevOps Engineer with 5–8+ years of enterprise experience to architect and implement AI-powered cloud platforms. You will focus on MLOps pipelines, AI-driven automation, and scalable infrastructure across Kubernetes, OpenShift, and cloud-native stacks.

Responsibilities include building automated incident resolution, implementing DevSecOps, and driving cost-aware, resilient operations with a strong focus on security and observability.

Qualifications

• 5–8+ years of enterprise DevOps experience in a leadership-capable role.
• BE/BTech in Computer Science or Electronics & Communication; Kubernetes/Docker/Terraform certs preferred.
• Strong coding/scripting: Python, Bash, Go; experience with CI/CD and IaC.

Responsibilities

• Design scalable AI-powered DevOps solutions for large enterprises.
• Develop and optimize MLOps pipelines and model deployment workflows.
• Automate cloud infrastructure using Terraform, Ansible, and related tools.
• Drive Kubernetes-based orchestration and DevSecOps, incl. CI/CD with Istio and KEDA.
• Integrate ITSM and AI-driven operations; ensure security & compliance.
• Promote IaC practices; implement SRE for high availability and resilience.
• Monitor, log, and alert with Prometheus, Grafana, ELK (OpenTelemetry, Tempo, Mimir, Splunk).

Skills

Python

Bash

Go

Problem solving

Self-driven

Education

BE/BTech in Computer Science or ECE

Kubernetes certification

Docker certification

Terraform certification

Tools

Kubernetes

Docker

Terraform

OpenShift

Argo Workflows

Pulumi

Crossplane

OpenStack

Prometheus

Grafana

ELK

OpenTelemetry

Tempo

Mimir

Splunk

Snyk

SonarQube

Veracode

OWASP

HashiCorp Vault

CyberArk

NeMo Guardrails

Lakera

Job description

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 innovative 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).
• Strong 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 equivalent with Computer Science or Electronics & Communication

Certification on Kubernetes, Docker, Terraform are preferred

RELEVANT EXPERIENCE: 5 - 8 years of Experience as a Devops Engineer

Required Technical Skills

• Programming: Python, Bash, Go
• Service Mesh (Istio, Linkerd)
• API Gateway (Kong, Apigee, NGINX)
• Container Orchestration: Kubernetes, OpenShift, Argo Workflows
• Container Runtimes: Docker and Podman.
• Development Environments: Vagrant, DevPod, cloud-based dev environment, Backstage
• IaC Engines: Terraform, Ansible, Pulumi, Crossplane,
• Policy as Code: Open Policy Agent, Kyverno
• CI/CD Orchestration: GitHub Actions, GitLab CI/CD, Jenkins, Dagger
• Observability Stack: Prometheus, Grafana, ELK, OpenTelemetry, Tempo, Mimir, Splunk
• Vulnerability Scanning: Snyk, SonarQube, Veracode, OWASP, InsightVM
• Secret Management: HashiCorp Vault, or CyberArk
• AI Security: NeMo Guardrails, Lakera