I’m a Cloud / DevOps Engineer with 5+ years of experience designing, automating, and operating scalable cloud-native platforms across AWS and Azure. I specialize in Kubernetes, Docker, CI/CD, Terraform, and Python automation to deliver reliable, secure, and cost-efficient solutions for telecom and SaaS workloads. I’m passionate about building robust automation, improving deployment speed, and enhancing system reliability. I enjoy collaborating with cross-functional teams to solve complex cloud and deployment challenges, translating business needs into scalable, repeatable infrastructure and software delivery workflows.

SHI V A KRISHNA

I’m a Cloud / DevOps Engineer with 5+ years of experience designing, automating, and operating scalable cloud-native platforms across AWS and Azure. I specialize in Kubernetes, Docker, CI/CD, Terraform, and Python automation to deliver reliable, secure, and cost-efficient solutions for telecom and SaaS workloads. I’m passionate about building robust automation, improving deployment speed, and enhancing system reliability. I enjoy collaborating with cross-functional teams to solve complex cloud and deployment challenges, translating business needs into scalable, repeatable infrastructure and software delivery workflows.

Available to hire

I’m a Cloud / DevOps Engineer with 5+ years of experience designing, automating, and operating scalable cloud-native platforms across AWS and Azure. I specialize in Kubernetes, Docker, CI/CD, Terraform, and Python automation to deliver reliable, secure, and cost-efficient solutions for telecom and SaaS workloads.

I’m passionate about building robust automation, improving deployment speed, and enhancing system reliability. I enjoy collaborating with cross-functional teams to solve complex cloud and deployment challenges, translating business needs into scalable, repeatable infrastructure and software delivery workflows.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Advanced

Work Experience

Cloud / DevOps Engineer (AWS & Azure) at AT&T
January 1, 2023 - December 1, 2025
Led design and implementation of a hybrid multi-cloud architecture across AWS and Azure supporting telecom-grade workloads with high availability. Built and maintained Docker images for Java-based microservices, standardizing base images and reducing image sizes by 40%. Containerized monolithic Java applications and migrated them to Kubernetes (EKS/AKS), improving deployment frequency and scalability. Developed Python automation scripts to manage CI/CD workflows, infrastructure validation, log parsing, and deployment health checks. Created end-to-end CI/CD pipelines using Jenkins and GitHub Actions for Java and Python services, reducing deployment time by 45%. Automated infrastructure provisioning using Terraform and ARM templates, ensuring consistent environments across dev, QA, and prod. Implemented blue-green and canary deployments for Dockerized services to minimize downtime during releases. Built Kubernetes Helm charts to package and version Java microservices for repeatable deplo
DevOps Engineer at Vertafore
January 1, 2019 - July 1, 2021
Architected and maintained a highly available Kubernetes platform for SaaS insurance applications with 99.99% uptime. Built standardized Dockerfiles and image pipelines for Java (Spring Boot) and Python services, improving build consistency and security. Led containerization of legacy Java applications, modernizing deployments and reducing environment-related defects by 60%. Designed CI/CD pipelines using Jenkins and GitLab CI for Java and Python projects, enabling automated build, test, scan, and deployment workflows. Developed Python-based automation tools for release orchestration, artifact validation, environment provisioning, and monitoring integrations. Implemented Infrastructure as Code (IaC) using Terraform and Helm, reducing manual provisioning errors by 70%. Integrated SonarQube quality gates and static code analysis for Java pipelines to enforce coding standards and reduce technical debt. Built centralized logging and monitoring using Datadog and Splunk to improve observabil

Education

Master of Science in Computer Science at Southern Arkansas University, Magnolia, AR
January 11, 2030 - January 27, 2026
Bachelor of Engineering in Electronics and Communication Engineering at JNTU Hyderabad, Telangana
January 11, 2030 - January 27, 2026
Master of Science in Computer Science at Southern Arkansas University, Magnolia, AR
January 11, 2030 - January 27, 2026
Bachelor of Engineering in Electronics and Communication Engineering at JNTU Hyderabad, Telangana
January 11, 2030 - January 27, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Telecommunications, Software & Internet, Professional Services