SAIBABA AARALU

Technology Analyst at Infosys, excelling in Azure DevOps, CI/CD, and Harness Cloud pipeline creation. Expert in Docker and Kubernetes, I thrive on optimizing cloud solutions while fostering collaboration. Successfully onboarded applications on SonarQube, enhancing code quality and ensuring seamless production deployments.

• CI/CD implementation: Azure DevOps, Harness Cloud
• Containerization: Docker, Kubernetes
• Scripting languages: PowerShell
• Cloud platform: Microsoft Azure, Harness Cloud
• Other skills: SonarQube, YAML, Jira, Terraform, Grafana, JFrog Artifactory

Worked as a DevOps engineer at Infosys on a healthcare project in the US

Created Azure DevOps project and repository for a POC for Genesys Cloud

Used Terraform for infrastructure automation and provisioned resources in Gensys Cloud

We have used Terraform commands, and the process included configuration of files

Initialization, planning, execution, and we were able to deploy what the app team wants from the DevOps pipeline and implemented the application at their end using Azure DevOps CI/CD

Managed and handled various Kubernetes clusters for deployment to various NPRD and PRD environments

Integrated SonarQube in CI/CD pipelines for code quality, security, and static analysis

Successfully executed various AKS (HIPAAS, QNXT) and SSIS packages PROD deployment as per RFC

Worked as a DevOps engineer at Infosys on the AXA-XL project in Paris

Developed a custom script to query JFrog Artifactory via cURL to check for pre-built artifacts tied to specific commit IDs, optimized pipeline execution by conditionally skipping redundant builds when artifacts were already present

Automated containerization of applications post-build, creating Docker images, which were then securely pushed to Artifactory for centralized artifact storage and versioning

Integrated with OpenShift, pulling Docker images from JFrog into mainstream to leverage OpenShift’s native image management and reuse capabilities

Wrote and managed Kubernetes manifests (YAML) for deploying microservices

Ensuring proper configuration of container services, environment variables, and

Resource quotas

Conducted applications testing in dev namespaces, validating builds and

Environment configuration before pushing artifacts to other stages

Implemented and deployed verified builds from DEV to QA, Pre-Prod, and Prod

Ensuring consistency of deployment across all the stages

Created dashboards in Grafana for an immediate glance at data points and the state of

Cluster and applications