Amar Uppu
DevOps Engineer
TX, USA +1-316-***-**** Email: ****@***********.*** LinkedIn
SUMMARY
Results-oriented DevOps Engineer with 5+ years of experience designing, automating, and optimizing cloud infrastructure, CI/CD pipelines, and containerized environments across healthcare and enterprise IT domains. Proficient in AWS, Azure, Kubernetes, Docker, Terraform, Ansible, Jenkins, and monitoring solutions to drive scalability, reliability, and cost efficiency. Skilled in collaborating with cross-functional Agile teams to deliver secure, high-performance solutions that accelerate software delivery and improve operational resilience. PROFESSIONAL EXPERIENCE
DevOps Engineer Elevance Health USA Jan 2025 – Current
• Designed, implemented, and maintained end-to-end CI/CD pipelines using Jenkins, GitLab CI, and Azure DevOps, automating build, testing, security scanning, and deployment processes, which improved release reliability and accelerated delivery cycles by 80%.
• Developed and managed Infrastructure as Code (IaC) using Terraform and AWS CloudFormation to provision and manage environments across multiple regions, ensuring consistency, reducing manual setup time by 70%, and improving deployment scalability.
• Containerized microservices using Docker and deployed them to Kubernetes clusters (EKS, AKS), implementing scaling policies, health checks, and optimized resource allocation to enhance scalability, fault tolerance, and reduce infrastructure costs by 25%.
• Implemented and maintained Helm charts to standardize Kubernetes deployments, ensuring consistent application configurations, streamlined updates, and reliable rollouts across development, staging, and production environments.
• Deployed and configured monitoring and alerting solutions using Prometheus, Grafana, and AWS CloudWatch, creating custom metrics and dashboards for predictive scaling, proactive issue detection, and reducing unplanned outages by 40%.
• Integrated automated security and compliance checks into CI/CD pipelines using SonarQube, Trivy, and Aqua Security, ensuring HIPAA and GDPR compliance for healthcare workloads, minimizing vulnerabilities, and enhancing production release security.
• Automated blue-green and canary deployment strategies to minimize downtime during production releases, enabling seamless rollouts, quick rollback capabilities, and achieving 99.95% service uptime for mission-critical applications.
• Managed and optimized centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana) and Splunk, enabling advanced search-based root cause analysis, improving incident response times, and enhancing overall system observability.
• Optimized cloud spends by implementing AWS Auto Scaling, EC2 Spot Instances, and S3 lifecycle policies, improving resource efficiency, reducing waste, and cutting operational costs by 20% annually.
• Led the migration of legacy on-premises applications to AWS and Azure cloud platforms using lift-and-shift and replatforming strategies, enhancing application performance, scalability, and strengthening disaster recovery capabilities. DevOps Engineer IBM India July 2018 – Dec 2022
• Built and maintained Jenkins pipelines for multi-language applications (Java, Python, .NET), automating build, unit/integration testing, security scans, and deployments across staging and production environments, improving delivery speed and reducing manual release errors.
• Configured, deployed, and managed Docker containers and orchestrated workloads in Kubernetes clusters (self-managed and EKS), achieving 99.9% uptime and supporting high-traffic enterprise applications.
• Developed Ansible playbooks and roles for automated provisioning, server hardening, and application deployment across environments, reducing manual configuration time by 60% and improving consistency in infrastructure setup.
• Managed and optimized AWS cloud infrastructure (EC2, RDS, S3, VPC, Route53), ensuring high availability, disaster recovery readiness, cost efficiency, and secure IAM policies for role-based access control across production and staging environments.
• Implemented infrastructure monitoring and application performance tracking using ELK Stack, Dynatrace, and AWS CloudWatch, enabling proactive bottleneck detection, reducing incident resolution time, and preventing unplanned downtime in critical systems.
• Automated database backup and restore processes for PostgreSQL and MySQL on AWS RDS using Lambda functions and scheduled scripts, improving data resilience, ensuring compliance with retention policies, and reducing manual recovery efforts.
• Created Helm charts for deploying microservices to Kubernetes, enabling consistent deployments across multiple client environments.
• Integrated automated testing frameworks into CI/CD workflows, improving software quality and reducing post-deployment defects by 30%.
• Developed log retention and archiving strategies for ELK and AWS S3 to optimize storage costs and comply with client retention policies. TECHNICAL SKILLS
• DevOps & Automation: CI/CD (Jenkins, GitLab CI, GitHub Actions, Azure DevOps), Ansible, Terraform, Chef, Puppet, ArgoCD, Spinnaker, Octopus Deploy
• Cloud Platforms: AWS (EC2, S3, RDS, Lambda, CloudFormation, ECS, EKS, Route53, IAM, CloudFront, CloudWatch, SNS, SQS), Azure (AKS, App Services, Azure Functions, Blob Storage, Monitor), GCP (GKE, Compute Engine, Cloud Functions, Pub/Sub)
• Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift, Podman, Docker Compose, Rancher, Harbor Registry — managed Kubernetes services (EKS, AKS, GKE) for production workloads
• Infrastructure as Code (IaC): Terraform, AWS CloudFormation, ARM Templates, Pulumi — reusable templates for rapid provisioning and multi- cloud infrastructure automation
• Scripting & Programming: Python, Bash, Shell, Groovy, PowerShell, YAML, JSON, Perl — automation scripts for build pipelines, infrastructure management, and operations
• Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, CloudWatch, Dynatrace, AppDynamics, New Relic, Nagios — real-time performance monitoring and log aggregation
• Security & Compliance: IAM, AWS Config, Vault, CIS Benchmarks, HIPAA, GDPR, Secrets Management, Snyk, Aqua Security, Trivy — embedding DevSecOps practices into CI/CD pipelines
• Databases & Storage: MySQL, PostgreSQL, MongoDB, Cassandra, Redis, DynamoDB, AWS RDS, Aurora, S3, Azure Blob, NFS, EBS — supporting high-availability and distributed storage systems
• Networking & Load Balancing: Nginx, HAProxy, F5, Traefik, AWS ALB/NLB, Azure Load Balancer Education
Masters Wichita State University, USA Jan 2023 – Dec 2024 Bachelors Narasaraopet Engineering College, India June 2016 - Sep 2020