PAVAN GADAPU

Hyderabad,TS

Summary

Senior DevOps Engineer with 5.6+ years of experience in Cloud Infrastructure, Kubernetes (AKS, EKS), Terraform, and CI/CD automation across Azure and AWS environments. Extensive experience designing and managing production-grade, highly available, scalable Kubernetes clusters for microservices-based architectures.

Strong expertise in Infrastructure as Code (Terraform), Docker containerization, Helm, GitOps workflows, and automated CI/CD pipelines using Azure DevOps and GitHub Actions. Hands-on experience implementing DevSecOps practices including SAST, DAST, container image scanning, and policy enforcement within CI/CD pipelines.

Proficient in monitoring, logging, and observability using Prometheus, Grafana, and Azure Monitor. Experienced in performance tuning, cloud cost optimization (FinOps), autoscaling strategies, and production incident troubleshooting. Focused on delivering secure, resilient, automated, and cost-efficient cloud-native solutions aligned with enterprise standards and compliance requirements.

Overview

years of professional experience

Languages

Work History

Senior Associate Infrastructure L1

Publicis Sapient

10.2024 - 06.2025

Designed and managed Azure DevOps CI/CD pipelines automating build, test, security scans, and deployments, reducing manual deployment effort by 70% and improving release frequency from bi-weekly to multiple releases per week.
Integrated SonarQube for static code analysis, achieving 30% reduction in code vulnerabilities and improving overall code quality score from B to A grade within 3 months.
Implemented Trivy container image scanning, identifying and remediating high/critical vulnerabilities before production, reducing production security incidents by 40%.
Integrated OWASP Dependency-Check to detect third-party library risks, preventing deployment of vulnerable components and ensuring compliance with enterprise security standards.
Automated multi-environment deployments (Dev, Staging, Production) with approval gates, reducing deployment failures by 35% and achieving 99.5% deployment success rate.
Developed and maintained GitHub Actions DevSecOps workflows for build, test, scan, and deployment, decreasing pipeline execution time by 25% through parallel job optimization.
Deployed Python, YAML, JSON, and SQL artifacts to Azure Databricks clusters and Azure Data Factory using automated workflows, eliminating manual deployment errors and reducing release time by 60%.
Implemented secure secret management using Azure Key Vault, removing hardcoded credentials and ensuring 100% compliance with internal security policies.
Managed release branching strategy (feature → release → main), improving version traceability and reducing hotfix deployments by 30%.
Collaborated in Agile ceremonies (Daily Scrum, Release Calls) and created user stories/defects in Rally, contributing to on-time delivery of 95% of sprint commitments.

Lead Software Engineer

Persistent Systems Limited

01.2021 - 10.2024

Lead Software Engineer
· Designed and maintained Azure DevOps CI/CD pipelines integrating Docker, Kubernetes, SonarQube, Trivy, OWASP Dependency-Check, and Azure Key Vault via secure service connections, reducing manual deployment effort by 65% and improving release cycle time by 40%.
· Authored optimized Dockerfiles and built container images, pushing to AWS ECR and Azure ACR, reducing image size by 30% and improving container startup time by 20%.
Created and managed Kubernetes manifests (Deployments, Services, Ingress, ConfigMaps, Secrets, PV, PVC, StorageClass, StatefulSets) and deployed workloads to AWS EKS and Azure Kubernetes Service (AKS) clusters, supporting 20+ microservices in production.
Automated application deployments to AWS EKS clusters, ensuring high availability and reducing deployment downtime by 35% through rolling updates and readiness probes.
Implemented GitHub Actions DevSecOps workflows leveraging reusable public actions from GitHub Marketplace, integrating security scans and environment-based deployment controls, decreasing security vulnerabilities reaching production by 40%.
Enforced secure secret management using Azure Key Vault and GitHub encrypted secrets, eliminating hardcoded credentials and achieving 100% compliance with security best practices.
Monitored Azure Virtual Machines and infrastructure using Logic Monitor dashboards, proactively identifying performance bottlenecks and reducing incident response time by 30%.
Collaborated with cross-functional teams using Jira, managing sprint tasks and resolving production incidents, contributing to 95% on-time sprint delivery rate

Senior Consultant / DevOps Engineer

Krishpar Technologies

08.2020 - 01.2021

Developed Aws Resources like EC2, VPC, Subnets, IGW, NAT Gateway, Route Tables, ELB, Autoscaling, IAM ECS Cluster, EKS Cluster through AWS Console
Maintained All Servers and AWS resources, AWS ECS Cluster and EKS Clusters and deployed applications.
Creating Docker file and Manifest files and maintained EKS Cluster.
Provisioning Different env. By using AWS Cloud services through terrafrom.

Cloud Engineer

Wallero Technologies

12.2019 - 06.2020

Creating and Maintaining Azure VNet, Subnets, Storage Accounts, VMs and Kubernetes cluster by using Azure Kubernetes Service (AKS)
Upgrade the AKS Cluster version from old version to new version.
During the maintenance activity Reboot the AKS Node Machine by using KURED application.
AKS Cluster integrate with Nirmata Monitoring Tool
And Configure Velero Backup tool in Nirmata and taking Backups and Restore the Cluster information by using Velero Backup.
Creating Docker file as per our requirements and build docker image and push those images to docker registry.
Creating docker containers by using our own images for testing applications.
Writing Jenkins File for Jenkins pipeline with end-to-end CI/CD automation process for deploying containerized application into Kubernetes Cluster.

Education

Master of Computer Applications (MCA) -

Andhra University

Skills

Cloud Platforms: AWS, Azure

Timeline