Cloud DevOps Engineer with 3+ Years of AWS Experience

VIMALA KEERTHI

Cloud Engineer

KS, USA 913-***-**** *****************@*****.*** LinkedIn

SUMMARY

• Cloud DevOps Engineer with 3+ years of experience designing, implementing, and managing scalable AWS cloud infrastructures using Terraform, CloudFormation, and multi-account AWS environments.

• Skilled in automating CI/CD pipelines with GitLab CI/CD, AWS CodePipeline, Docker, and ECS to streamline deployment of containerized microservices and enhance release efficiency.

• Proficient in building secure and compliant cloud solutions leveraging AWS IAM, GuardDuty, Security Hub, KMS, and Config to enforce DevSecOps standards across environments.

• Experienced in migrating on-premises workloads to AWS, designing multi-region architectures with EC2, RDS, ELB, and Auto Scaling to ensure high availability and reliability of critical applications.

• Adept at monitoring, troubleshooting, and optimizing cloud infrastructure using CloudWatch, Prometheus, Grafana, and AWS X- Ray for proactive incident resolution.

• Hands-on in creating detailed documentation, runbooks, and Confluence knowledge bases, supporting agile teams and enabling smooth knowledge transfer and operational continuity. TECHNICAL SKILLS

Cloud Platforms: AWS (EC2, VPC, S3, RDS, Lambda, ECS/EKS, CloudWatch, IAM, ELB), Azure (VMs, VNets, AKS, Load Balancer, Key Vault, Storage Accounts, Azure DevOps)

Infrastructure as Code: Terraform, CloudFormation, ARM Templates Containers & Orchestration: Docker, Kubernetes (EKS, AKS), Helm, Container Security Policies CI/CD & DevOps Tools: Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps Pipelines, Maven, Gradle, Artifactory Monitoring & Observability: CloudWatch, Azure Monitor, Application Insights, Prometheus, Grafana, ELK Stack Security & Compliance: IAM, RBAC, KMS, Key Vault, Secrets Management, GuardDuty, AWS Config, Security Hub, SSL/TLS Configuration & Scripting: Bash, Python, PowerShell, YAML, JSON Databases & Storage: Amazon RDS (MySQL, PostgreSQL), DynamoDB, Azure SQL, S3, Blob Storage Methodologies: Agile, Scrum, DevOps, CI/CD, SDLC, Incident Management Soft Skills: Stakeholder Collaboration, Critical Thinking, Problem Solving, Decision Making, Time Management WORK EXPERIENCE

Centene Corporation Jan 2025 – Present

Cloud DevOps Engineer Missouri, USA

• Collaborated with architects to design a multi-account AWS Landing Zone using Control Tower, Organizations, IAM, and CloudTrail, standardizing governance and centralized logging for 100+ accounts, improving HIPAA compliance by 35%.

• Developed Terraform modules for VPCs, subnets, Security Groups, ECS clusters, and CloudFormation templates for RDS and Lambda, enabling repeatable deployments and cutting environment setup from 3 days to 3 hours.

• Built GitLab CI/CD pipelines with Docker, AWS ECR, and ECS, automating microservices deployment for a patient data app, increasing release frequency by 50% and reducing rollbacks by 25%.

• Configured site-to-site VPN and AWS Transit Gateway to securely connect on-premises data centers with AWS, supporting high-volume healthcare workloads at 99.9% uptime.

• Implemented monitoring and alerting with CloudWatch, Prometheus, and Grafana, enabling proactive resolution of 95% of production incidents.

• Enforced DevSecOps standards via AWS Config, GuardDuty, and Security Hub in CI/CD pipelines, automating compliance checks and reducing misconfigurations by 30%.

• Participated in agile sprints, tracked releases in Jira, and documented pipeline architecture and IaC templates in Confluence, achieving zero major incidents across 6 releases.

• Optimized Terraform modules, ECS configurations, and CI/CD workflows, improving deployment efficiency and system reliability by 35% while standardizing automation across teams. Accenture Jan 2022 – Dec 2023

Cloud Engineer India

• Conducted detailed assessment of 120+ on-prem servers and 85+ applications using AWS Migration Hub, identifying dependencies, sizing workloads, and preparing migration strategy to AWS with zero downtime.

• Designed multi-region AWS architecture with EC2 Auto Scaling groups, Elastic Load Balancers (ELB), and VPC subnets, ensuring 99.95% uptime for critical production and logistics applications.

• Automated provisioning of EC2 instances, RDS MySQL databases, S3 buckets, and networking components using Terraform and AWS CloudFormation, achieving 30% faster environment setup and consistent infrastructure across dev, QA, and production.

• Built AWS CodePipeline integrated with CodeBuild and GitHub for automated deployment of containerized microservices on Elastic Beanstalk, reducing release cycle from 2 weeks to 3 days.

• Migrated critical workloads to EC2, RDS, and Elastic Beanstalk using AWS Database Migration Service (DMS), resulting in 35% improved application performance and seamless functionality during cutover.

• Configured Amazon CloudWatch metrics, alarms, and dashboards alongside AWS X-Ray for distributed tracing, enabling proactive identification of bottlenecks and reducing mean time to resolution (MTTR) by 40%.

• Applied IAM roles and policies, configured AWS KMS for encryption at rest, and enabled Security Groups for network-level access control, maintaining SOX and GDPR compliance across all workloads.

• Leveraged AWS Cost Explorer and Auto Scaling policies to right-size EC2 instances and optimize storage usage, achieving 20% monthly cost savings without impacting performance.

• Configured AWS Backup, S3 versioning, and AWS Elastic Disaster Recovery for 100+ mission-critical applications, reducing potential downtime to less than 1 hour during failover testing.

• Created detailed runbooks, deployment guides, CloudWatch dashboards, and Confluence documentation, improving team onboarding efficiency by 50% and enabling smooth knowledge transfer to operations. ACADEMEIC PROJECTS

Project 1: CI/CD Pipeline for Java E-Commerce Web Application Tools: GitHub, Jenkins, Maven, Docker, Kubernetes, AWS EC2, Terraform, SonarQube, Nexus Repository, Selenium

• Developed a fully automated CI/CD pipeline for a Java Spring Boot e-commerce application using Jenkins, Maven, and GitHub webhooks to enable seamless code integration and deployment.

• Packaged applications as Docker containers and deployed on AWS EC2 instances orchestrated by Kubernetes for high availability and automated scaling across environments.

• Automated infrastructure provisioning with Terraform and configuration management using Ansible to ensure consistent, error- free environment setups.

• Integrated SonarQube for static code analysis, Nexus Repository for artifact management, and Selenium for automated UI testing to maintain code quality and reliability before production deployment. Project 2: Microservices Monitoring and Logging System Tools: Docker, Kubernetes, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Helm, Slack, Python

• Designed a centralized monitoring and logging system for Python Flask microservices using Docker and Kubernetes to manage service scaling, failover, and high availability.

• Implemented Prometheus and Grafana dashboards for real-time monitoring of CPU, memory, and request latency to track system performance.

• Configured ELK Stack for centralized log aggregation, parsing, and visualization to enable efficient troubleshooting of microservice errors and performance issues.

• Developed automated alerting and Slack notifications using Prometheus rules and Helm-based deployment for repeatable, version-controlled microservice rollouts, ensuring full observability. EDUCATION

Master of Science in Computer

University of Central Missouri, Lees Summit, MO, United States Bachelor of Science in Computer Science

Presidency University, Bangalore, Karnataka, India. CERTIFICATION

• AWS

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