Swetha Ravi

DevOps Engineer | Kubernetes & AWS

Talent

BengaluruMember since September 6, 2026

AWSAmazon EKSDockerKubernetesTerraformPrometheusGrafanaPythonBash

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AWSAmazon EKSDockerKubernetesTerraform

About

DevOps Engineer with 2+ years of hands-on experience managing multi-namespace Amazon EKS environments, containerized workloads, and AWS cloud infrastructure. Proficient in maintaining CI/CD pipelines, modifying Terraform modules, and configuring Prometheus and Grafana monitoring. Strong track record in resolving L2/L3 production incidents, troubleshooting complex Kubernetes workloads, and leveraging automation to ensure reliable deployment lifecycles across enterprise environments.

Experience

DevOps Engineer - Tata Consultancy Services (TCS) - Client: Landmark Group - (UAE & KSA)

(2025-08)

Managed 5+ multi-namespace Amazon EKS environments for enterprise applications, utilizing kubectl and Helm to configure deployments, Services, ConfigMaps, and pod scaling policies.
Resolved 15+ L2/L3 incidents weekly via ServiceNow, troubleshooting CrashLoopBackOff, ImagePullBackOff, OOMKilled errors, and Ingress routing issues within strict SLAs.
Maintained CI/CD pipelines, updating build stages, managing Docker image tagging, and troubleshooting failed jobs to increase build success rates by 25% while supporting automated deployments.
Refactored existing Terraform modules to automate provisioning of AWS EC2, S3, and Security Groups, reducing environment deployment times by 40%.
Automated routine operational tasks using Bash and Python scripts, including automated log cleanup and post-build verification across environments.
Configured RBAC user access, environment configurations, and deployment values across Development, Staging, and UAT environments.
Tracked deployment backlogs and environment updates in Jira, following Agile/Scrum workflows.

Assistant System Engineer - Tata Consultancy Services (TCS) - Client: Landmark Group - (UAE & KSA)

(2024-06 - 2025-07)

Assisted in containerizing Java and Python microservices by developing Dockerfiles and configuring local containerized testing environments.
Supported deployment validations, environment-access requests, log retrieval, and application troubleshooting via Jira Service Management and ServiceNow ticketing workflows.