Devops Engineer
Job Description
Job Purpose
\nWe 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.
\nRole Summary
\nKey Responsibilities
\n- Design and deliver scalable AI-powered DevOps solutions for large enterprise platforms to improve MTTR, achieve automated incident resolution, and drive operational excellence \n
- Develop and optimize MLOps pipelines and model deployment workflows leveraging clustering, topic modeling, and anomaly detection techniques \n
- Create and automate solutions for Cloud Platforms and Infrastructure with L&T Vyoma, Terraform, CloudFormation, and Helm, alongside Python and Shell Scripting \n
- Drive Kubernetes-based container orchestration and DevSecOps initiatives, including CI/CD pipelines, Istio, and KEDA deployment strategies \n
- Ensure seamless ITSM integration for AI-driven operations and automation \n
- Drive Infrastructure-as-Code practices using tools like Terraform and Ansible. \n
- Drive Site Reliability Engineering (SRE) practices to ensure high availability and resilience. \n
- Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK). \n
- Strong problem-solving skills with a proactive, self-driven approach. \n
- Knowledge of FinOps and cloud cost optimization strategies \n
- Integrate security practices into the DevOps pipeline, ensuring compliance and risk management. \n
- Experience with OpenStack, serverless architecture, understanding of DevSecOps practices and security automation \n
- Innovation mindset with focus on enterprise impact \n
- Programming: Python, Bash, Go \n
- Service Mesh (Istio, Linkerd) \n
- API Gateway (Kong, Apigee, NGINX) \n
- Container Orchestration: Kubernetes, OpenShift, Argo Workflows \n
- Container Runtimes: Docker and Podman. \n
- Development Environments: Vagrant, DevPod, cloud-based dev environment, Backstage \n
- IaC Engines: Terraform, Ansible, Pulumi, Crossplane, \n
- Policy as Code: Open Policy Agent, Kyverno \n
- CI/CD Orchestration: GitHub Actions, GitLab CI/CD, Jenkins, Dagger \n
- Observability Stack: Prometheus, Grafana, ELK, OpenTelemetry, Tempo, Mimir, Splunk \n
- Vulnerability Scanning: Snyk, SonarQube, Veracode, OWASP, InsightVM \n
- Secret Management: HashiCorp Vault, or CyberArk \n
- AI Security: NeMo Guardrails, Lakera
Experience & Educational Requirements
\nQualifications and Experience
\nEDUCATIONAL QUALIFICATIONS: (degree, training, or certification required)
\nBE/B-Tech or equivalent with Computer Science or Electronics & Communication
\nCertification on Kubernetes, Docker, Terraform are preferred
\nRELEVANT EXPERIENCE: 5 - 8 years of Experience as a
\nRequired Technical Skills
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