DevOps Engineer with Cloud, Kubernetes & CI/CD Expertise

DIVYA SHAH

DevOps Engineer

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

SUMMARY

DevOps Engineer with 3+ years of hands-on experience building, automating, and supporting highly available cloud and container-based platforms across enterprise environments. Strong expertise in AWS, Kubernetes, Docker, Terraform, CI/CD pipelines, and DevSecOps practices, with a proven ability to improve deployment reliability, system scalability, and infrastructure security. Experienced in infrastructure automation, GitOps workflows, monitoring and observability, and cost optimization, supporting fast-paced Agile teams and production-grade workloads. Consistently delivered measurable impact including 60% faster releases, 99.99% uptime, and six-figure annual cloud cost savings. PROFESSIONAL EXPERIENCE

DevOps Engineer EPAM Systems USA Jan 2025 – Present

Designed and implemented end-to-end infrastructure automation using Terraform and Ansible to provision and manage AWS environments, reducing manual configuration effort by 75% and eliminating configuration drift across DEV, UAT, and PROD environments.

Architected and maintained CI/CD pipelines using Jenkins, GitLab CI, and Azure DevOps, integrating automated testing, SonarQube quality gates, Docker image builds, and Kubernetes deployments, resulting in 65% faster release cycles.

Led application modernization initiatives by migrating legacy monolithic services to containerized microservices, creating reusable Helm charts, managing Kubernetes deployments (EKS/AKS), and improving scalability while minimizing deployment downtime.

Implemented comprehensive monitoring and observability using Prometheus, Grafana, and Loki, building custom dashboards for application latency, CPU/memory usage, and pod health, which reduced MTTR by 40%.

Established GitOps-based deployment workflows using ArgoCD, enabling version-controlled Kubernetes manifests, automated rollbacks, and consistent configuration management across multiple environments.

Engineered blue-green and canary deployment strategies within Kubernetes pipelines to ensure zero-downtime production releases and safe traffic shifting during critical updates.

Strengthened platform security by implementing DevSecOps automation, including secrets management with Vault, IAM policy hardening, and container vulnerability scanning using Trivy and Aqua Security, improving compliance readiness by 30%.

Developed cloud cost optimization automation leveraging AWS CloudWatch metrics and SDKs, identifying unused resources and saving approximately $100K annually in infrastructure costs.

Designed and tuned auto-scaling and load-balancing architectures using AWS ALB, ELB, and Kubernetes HPA, ensuring system reliability during peak traffic events.

Built and tested disaster recovery strategies using S3 cross-region replication and automated EBS snapshot policies, achieving sub-15- minute RTO for critical services.

Collaborated with development, QA, and security teams within Agile frameworks to support 20+ successful production releases, aligning DevOps workflows with business and compliance requirements. DevOps Engineer Accenture India Sept 2021 – July 2023

Designed and maintained end-to-end CI/CD pipelines using Jenkins to automate build, test, and deployment workflows for Java and Python enterprise applications, reducing manual release effort by 80% and improving deployment consistency across environments.

Containerized monolithic and microservice applications using Docker, creating optimized Dockerfiles and deploying to Kubernetes clusters

(EKS/GKE) with configured resource limits, health probes, and rolling updates to ensure high availability and zero-downtime releases.

Automated infrastructure provisioning and configuration management using Terraform and Ansible, enabling repeatable, version- controlled deployments across DEV, UAT, and PROD environments while reducing setup time and configuration errors.

Managed and optimized AWS cloud infrastructure including EC2, RDS, S3, VPC, Route53, CloudFront, IAM, performing capacity planning, cost optimization, and security hardening to consistently maintain 99.9% application uptime.

Built reusable Terraform modules and infrastructure templates for networking, compute, and storage layers, allowing rapid environment spin-up across multiple client projects and reducing onboarding time for new applications by 50%.

Integrated DevSecOps practices into CI/CD pipelines by embedding static code analysis (SonarQube) and security scanning tools such as Snyk and OWASP ZAP, proactively identifying vulnerabilities early in the SDLC and reducing security issues before production deployments.

Implemented centralized logging and monitoring solutions using ELK Stack (Elasticsearch, Logstash, Kibana) and AWS CloudWatch, enabling real-time visibility into application health, log analytics, and infrastructure metrics, which reduced unplanned downtime by 35%.

Developed automated deployment rollback and version control mechanisms using Git and Jenkins, ensuring fast recovery from failed builds or production issues and maintaining application stability during frequent releases.

Designed and enhanced backup and disaster recovery strategies using AWS Backup and automated snapshot policies, achieving a 5-minute RPO and ensuring zero data loss incidents across critical environments.

Collaborated closely with development, QA, security, and infrastructure teams within Agile/Scrum frameworks, supporting sprint-based releases, CI/CD improvements, and production stability for 12+ enterprise client applications.

Created Python-based automation scripts to generate AWS usage and cost reports, identifying under-utilized resources and driving 25% cloud cost savings through rightsizing and cleanup initiatives. TECHNICAL SKILLS

Cloud Platforms: AWS (EC2, S3, EKS, RDS, Lambda, VPC, Route53, CloudFormation), GCP

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

Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift

Infrastructure as Code: Terraform, Ansible, AWS CloudFormation, Chef, Puppet

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

Monitoring & Observability: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), CloudWatch, Datadog, Splunk

Security & DevSecOps: Vault, Trivy, Aqua Security, Snyk, OWASP ZAP, IAM

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

Operating Systems & Virtualization: Linux (RHEL, Ubuntu), Windows Server, VMware

Methodologies: Agile, Scrum, Kanban, CI/CD, GitOps, Blue-Green & Canary Deployments 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

Contact this candidate