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.

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

📌 DevOps Engineer (Chennai)
🏢 Larsen u0026 Toubro-Vyoma
📍 Chennai