DevOps Engineer with Cloud & CI/CD Expertise

DIVYA SHAH

DevOps Engineer

USA +1-682-***-**** ************@*****.*** LinkedIn

SUMMARY

Highly skilled and results-driven DevOps Engineer with around 3 years of experience in designing, automating, and optimizing mission-critical deployments across cloud and on-premise infrastructures. Expertise in AWS, CI/CD, Kubernetes, Docker, Terraform, Jenkins, Ansible, and monitoring tools. Adept at enhancing system scalability, security, and performance through infrastructure automation, pipeline orchestration, and DevSecOps practices. Proven record of reducing deployment times by 60%, improving uptime to 99.99%, and enabling faster software delivery cycles within agile, enterprise-grade environments. PROFESSIONAL EXPERIENCE

DevOps Engineer EPAM Systems USA Jan 2025 – Current

Designed and implemented multi-cloud infrastructure automation using Terraform and Ansible, standardizing resource provisioning across AWS reducing manual setup time by 75% and configuration drift to near zero.

Built and maintained CI/CD pipelines using Jenkins, GitLab CI, and DevOps, integrating code quality checks (SonarQube), container builds

(Docker), and automated deployments to Kubernetes (EKS/AKS), cutting release times by 65%.

Led migration from monolithic applications to containerized microservices, defining Helm charts, managing pods, and configuring ingress controllers; improved deployment scalability and reduced downtime during updates.

Integrated Prometheus + Grafana + Loki stack for real-time monitoring and alerting; developed custom dashboards for CPU/memory utilization and application latency, reducing MTTR by 40%.

Established GitOps model using ArgoCD, enabling declarative deployments, version control of manifests, and safe rollbacks, improving release consistency across environments.

Engineered blue-green and canary deployments pipelines ensuring zero downtime releases and seamless rollback in production using Jenkins and Kubernetes.

Implemented security automation including secret rotation via Vault, IAM role management, and automated compliance scans (Trivy, Aqua Security), improving security posture and SOC2 readiness by 30%.

Automated infrastructure cost optimization scripts using AWS SDKs and CloudWatch metrics, saving $100K annually in unused compute resources.

Built auto-scaling and load balancing solutions via AWS ALB, ELB, and Kubernetes HPA, improving system reliability under dynamic load conditions.

Led disaster recovery (DR) strategy, implementing S3 cross-region replication and automated EBS snapshot backups, achieving <15-minute RTO for critical services.

Worked with other DevOps engineers in best practices for IaC, Git branching, and CI/CD maintenance, contributing to a stronger DevOps culture organization-wide.

Collaborated with cross-functional agile teams to support 20+ product releases, ensuring continuous integration and delivery pipelines aligned with compliance and business goals.

DevOps Engineer Accenture India Sept 2021 – July 2023

Developed and maintained Jenkins CI/CD pipelines to automate build, test, and deployment processes for enterprise Java and Python applications, reducing manual release activities by 80%.

Containerized applications using Docker and deployed microservices to Kubernetes clusters (GKE/EKS) with optimized pod autoscaling and resource management for high availability and cost efficiency.

Automated infrastructure provisioning and configuration management via Terraform and Ansible, integrating multi-environment workflows (DEV/UAT/PROD) for consistent deployments.

Managed and optimized AWS cloud infrastructure (EC2, RDS, S3, CloudFront, VPCs, Route53) ensuring performance tuning, cost optimization, and 99.9% uptime SLAs.

Designed infrastructure templates for reusable modules enabling rapid environment provisioning across client projects, accelerating onboarding time by 50%.

Integrated static code analysis (SonarQube) and security scanning tools (Snyk, OWASP ZAP) within CI pipelines to implement DevSecOps principles and reduce vulnerabilities before deployment.

Set up centralized logging and monitoring systems using ELK Stack and CloudWatch, enabling proactive incident detection and reducing downtime by 35%.

Created automated rollback and version control strategies for application releases using Git and Jenkins, ensuring deployment integrity during failed builds.

Enhanced backup and DR workflows using AWS Backup, achieving RPO of 5 minutes and reducing data loss incidents to zero in 2021.

Collaborated with development and QA teams under Agile/Scrum frameworks to deliver iterative deployments, feature updates, and sprint-based DevOps reporting.

Implemented cost tracking automation scripts in Python for AWS resource usage reports, leading to 25% cost savings in under-utilized environments.

Streamlined deployment pipelines by coordinating with security, networking, and application teams across 12+ enterprise clients. TECHNICAL SKILLS

Cloud Platforms & Tools: AWS (EC2, S3, EKS, RDS, Lambda, CloudFormation), GCP, Jenkins, GitLab CI, GitHub Actions, Bamboo, DevOps

Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift

Infrastructure as Code (IaC): Terraform, Ansible, Chef, Puppet, AWS CloudFormation

Scripting & Automation: Python, Bash, Shell, PowerShell, Groovy

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

Build & Artifact Management: Maven, Nexus, Artifactory, Gradle

OS & Virtualization: Linux (RHEL, Ubuntu), Windows Server, VMware, Hyper-V

Agile & DevOps Practices: Scrum, Kanban, CI/CD pipelines, Blue-Green Deployments, Canary Releases EDUCATION

Masters University of Texas at Arlington, USA Aug 2023 – May 2025 Bachelors LJ Institute of Engineering and Technology (GTU), India Aug 2019 - May 2023

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