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
