DevOps Engineer

Larsen & Toubro-Vyoma; Chennai District; On-site; INR 2,200,000 - 3,800,000; Full time

Job summary

Larsen & Toubro-Vyoma seeks an experienced DevOps Engineer specializing in AI-enabled cloud engineering, observability, and AI-driven automation. The role focuses on building AI-powered platforms, data-driven automation, and enterprise-grade AIOps to enhance operational efficiency.

Candidates should have 5–8+ years of enterprise DevOps experience, expertise in Python, Bash, Go, and strong knowledge of Kubernetes, IaC, CI/CD, and security integration.

Qualifications

• 5-8 years of experience as a DevOps Engineer in an enterprise setting.
• Proficient in Python, Bash, and Go programming.
• Strong problem-solving and proactive, self-driven approach.
• Familiar with AI-enabled cloud platforms, MLOps, and AIOps concepts.

Responsibilities

• Design and deliver scalable AI-powered DevOps solutions for large enterprise platforms.
• Develop and optimize MLOps pipelines and model deployment workflows.
• Automate cloud platforms and infrastructure using Terraform, CloudFormation, and Helm; proficiency in Python and Shell scripting.
• Lead Kubernetes-based orchestration and DevSecOps, including CI/CD, Istio, and KEDA strategies.
• Ensure ITSM integration for AI-driven operations and automation.

Skills

5-8 years DevOps experience

Programming: Python Bash Go

Problem solving

Education

BE/B.Tech in Computer Science or ECE

Kubernetes Docker Terraform certifications

Tools

Kubernetes

OpenShift

Argo Workflows

Docker

Podman

Terraform

Ansible

Pulumi

Crossplane

Open Policy Agent

Kyverno

GitHub Actions

GitLab CI/CD

Jenkins

Dagger

Istio

KEDA

Prometheus

Grafana

ELK

OpenTelemetry

Tempo

Mimir

Splunk

Snyk

SonarQube

Veracode

OWASP

InsightVM

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.

Roles & 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 Requirement

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
• 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