
Tej kiran
DevOps Engineer AWS Azure Kubernetes Terraform CI CD
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Expérience professionnelle
devops engineer
Infosys • Temps plein
Oct 2024 - Oct 2026 • 2 yrs
Provisioned and managed cloud infrastructure across AWS, Azure, and GCP using Terraform and Ansible, covering compute, networking, IAM, and environment configuration. • Managed Kubernetes environments on AWS EKS and Azure AKS, supporting application deployments, scaling, troubleshoot ing, and configuration management. • Built and maintained CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodePipeline for automated build, testing, container image creation, and application deployment. • Automated deployment workflows and infrastructure operations using Infrastructure as Code, reducing manual configuration and deployment effort. • Containerized Java and Node.js applications using Docker and deployed containerized workloads to Kubernetes environments. • Created and maintained reusable Helm charts to standardize Kubernetes application deployments across environments. • Implemented GitOps-based application delivery using Argo CD to improve deployment consistency and reduce manual de ployment activities. • Configured Kubernetes HPA, resource limits, liveness probes, and readiness probes to support workload scalability, reliability, and application availability. • Implemented monitoring and observability using Prometheus, Grafana, CloudWatch, and ELK Stack, including dashboards, alerting, metrics monitoring, centralized logging, and infrastructure troubleshooting. • Integrated SonarQube and Trivy into CI/CD pipelines for code-quality validation and container vulnerability scanning. • Implemented HashiCorp Vault for secrets management as part of DevSecOps workflows. • Worked with AWS services including EKS, ECS, IAM, VPC, Route 53, Auto Scaling, Lambda, S3, and ECR for cloud infrastructure and application platforms. • Automated server and infrastructure configuration using Ansible and Terraform across cloud environments. • Collaborated with development and QA teams using GitFlow and supported troubleshooting of application, infrastructure, and deployment issues.