Dinesh Gottigundala

Amdocs Managed Services contracted with AT&T (American Telephone & Telegraph) to provide Mainframe and Midrange application support services for Production End-to-End environments according to defined and negotiated agreements. This includes Application Services, Production Support Center Services, Technical Application Support Services, Deployment and Release Management Services (Change Management) and Business Optimization Services.

• Provided 24/7 production support for critical systems, ensuring high availability and performance.
• Monitored system health, investigated incidents, and resolved issues promptly to minimize downtime.
• Document support procedures, best practices, and incident resolutions for knowledge sharing and continuous improvement.
• Assisted in the deployment of applications and updates, ensuring smooth rollout and minimal disruption.
• Managed system backups and restores, achieving a 100% data recovery rate and minimizing data loss risks.
• Working on SRE front Automation (Ginger Flows).
• Designed and implemented CI/CD pipelines using Azure DevOps for automated build, test, and deployment of applications.
• Managed existing Azure resources and infrastructure using Infrastructure as Code (IaC) principles with Terraform.
• Configured and maintained Azure DevOps repositories, builds, releases, and deployment environments.
• Collaborated with development teams to streamline development processes and optimize release cycles.
• Implemented security best practices and compliance standards for Azure resources and pipelines.
• Automate routine tasks and processes using Azure DevOps pipelines, improving efficiency and reliability.
• Manage CI/CD pipelines for software deployment, ensuring smooth and seamless releases.
• Implement monitoring and alerting solutions to proactively identify and address issues.
• Conduct root cause analysis for incidents and implement preventive measures.
• Experienced in on-prem to Azure migration, adept at seamless transitions, optimization, and minimizing disruptions.