Cloud & DevOps Engineer - AWS, Azure, GCP Expert

ABHIRAM KARANAM

CLOUD & DEVOPS ENGINEER

USA +1-203-***-**** ****************@*****.*** LinkedIn SUMMARY

Results-driven Cloud & DevOps Engineer with 4 years of experience architecting, automating, and optimizing cloud infrastructure and CI/CD pipelines across AWS, Azure, and GCP. Expertise in Kubernetes, Docker, Terraform, Jenkins, and cloud-native solutions to deliver scalable, secure, and high-performance systems. Adept at collaborating with cross-functional teams to improve deployment frequency, reduce downtime, and optimize costs.

SKILLS

Cloud Platforms: AWS, Azure, GCP

Containerization & Orchestration: Docker, Kubernetes, OpenShift, Helm

Infrastructure as Code (IaC): Terraform, Ansible, CloudFormation

CI/CD & Automation: Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions

Monitoring & Logging: Prometheus, Grafana, ELK Stack, Splunk, CloudWatch

Scripting & Programming: Python, Bash, PowerShell, Go

Version Control & Collaboration: Git, Bitbucket, JIRA, Confluence

Other Tools: Nexus, SonarQube, Artifactory, Nginx, HAProxy EXPERIANCE

Wells Fargo, USA Cloud & Devops Engineer Jan 2025 – Current

Designed and deployed multi-cloud infrastructure using Terraform and Ansible, reducing provisioning time by 50%.

Built and maintained CI/CD pipelines with Jenkins and Azure DevOps, cutting release cycles from 2 weeks to 2 days.

Implemented Kubernetes clusters on AWS EKS and Azure AKS, achieving 99.9% uptime for high-traffic applications.

Developed automated scaling policies for containers, reducing cloud costs by 25%.

Integrated Prometheus, Grafana, and ELK dashboards, improving incident response times by 35%.

Migrated legacy monolithic apps to microservices architecture on Kubernetes, reducing deployment failures by 40%.

Enforced security best practices by integrating AWS IAM, Azure Key Vault, and automated vulnerability scans.

Led a team of 5 engineers, providing guidance on containerization and CI/CD workflows. Home Depot, USA Devops Engineer May 2024 – Jan 2025

Automated infrastructure provisioning using Terraform and CloudFormation, reducing manual efforts by 70%.

Migrated on-premises workloads to AWS and Azure, improving scalability and reducing downtime by 40%.

Designed and deployed Dockerized microservices orchestrated via Kubernetes and Helm, improving release stability by 60%.

Developed GitLab CI/CD pipelines for continuous integration and deployment, reducing production rollout times by 55%.

Configured centralized monitoring with ELK stack, CloudWatch, and Grafana, ensuring real-time infrastructure visibility.

Automated database backups and disaster recovery strategies, reducing RTO from 4 hours to 30 minutes.

Partnered with security teams to implement role-based access controls (RBAC) across multi-cloud environments.

Provided DevOps training sessions to development teams, improving collaboration and deployment efficiency. Nefroverse Technologies, India Cloud Infrastructure Engineer Jun 2021 – Sep 2023

Designed and deployed AWS EC2, S3, RDS, Lambda, and VPC architectures to support enterprise workloads.

Developed and optimized CI/CD pipelines using Jenkins and SonarQube, improving code quality and release frequency.

Automated data synchronization and cloud storage policies, reducing operational overhead by 30%.

Deployed and configured Nginx and HAProxy for load balancing across multiple Kubernetes clusters.

Built custom Python scripts for infrastructure monitoring and automated log analysis, cutting manual work by 40%.

Set up Splunk dashboards and integrated CloudWatch alarms to proactively detect and resolve issues.

Hardened cloud security by configuring security groups, IAM roles, and KMS encryption.

Collaborated with architects to design DR strategies, achieving 99.95% availability for mission-critical applications. EDUCATION

Master of Science in Computer Science

Sacred Heart University Fairfield, CT

Bachelors of Science and Technology in Computer Science Engineering Jain University Bengaluru

PUBLICATION

Published Research Paper on a Blockchain-Based Electronic Voting System (Vol. 4, No. 5, pp. 4880-4886) in the International Journal of Research Publication and Reviews, showcasing innovative applications of blockchain technology to enhance voting security and integrity.

Contact this candidate