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Devops Engineer with 8+ years in Cloud, CI/CD & Kubernetes
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Dedicated and highly skilled DevOps engineer with over 8 years of hands-on expertise in designing, implementing, and optimizing robust DevOps pipelines on the Microsoft Azure cloud platform. A proven track record of delivering efficient CI/CD solutions, automating infrastructure provisioning, and ensuring continuous integration and delivery for diverse software projects. Committed to fostering a culture of continuous improvement, implementing best practices in DevOps methodologies, and delivering high-quality solutions that align with organizational goals and enhance overall performance.
Pragati Engineering college
B.tech
August 1, 2011 – June 30, 2015
Happiest Minds Technologies
DevOps Module Lead
July 1, 2025 – Present
Hyderābād, Telangana, India
Pepsico GBS
DevOps and Cloud Engineer
November 1, 2023 – June 1, 2025
Hyderābād, Telangana, India
Tata Consultancy Services
DevOps and Cloud Engineer
January 1, 2022 – November 1, 2023
Hyderābād, Telangana, India
Mindtree
DevOps and Cloud Engineer
February 1, 2021 – December 1, 2021
Hyderābād, Telangana, India
Yash Technologies
DevOps and Cloud Engineer
August 1, 2017 – February 1, 2021
Hyderābād, Telangana, India
Nokia
May 29, 2026 – Present
Migration of monolithic application to microservices by using docker, Kubernetes helm and set up of monitoring. Roles & Responsibilities: Writing Dockerfiles for microservices based applications. Configured Kubernetes Services (ClusterIP, NodePort, LoadBalancer) and ingress Controllers (NGINX/ALB) for internal and external access. Managed end-to-end DevOps lifecycle including CI/CD pipelines, infrastructure provisioning, monitoring, and deployment automation. Used Helm charts to standardize deployments across environments (Dev, QA, UAT, Prod). Implemented Rolling Updates and Blue-Green Deployments to minimize downtime. Logging and Monitoring: Deploying ELK Stack for log aggregation. Configuring Grafana, linked to Prometheus, to visualize metrics, send alerts, and manage notifications via AlertManager, providing comprehensive application insights.
Metadata - ABN AMRO
May 29, 2026 – Present
ABN-AMRO has core Banking base rate financing functionality. Based on data provided by client we manipulate data using Azure Data factory and Azure Databricks pass it to different source system. Roles & Responsibilities: Designed and Implemented project infra by using terraform with CICD pipelines. Designed, implemented, and maintained CICD pipelines by using azure DevOps for Azure Data Factory. Designed and Deployed Azure Data bricks in Azure cloud. Identified & Resolved production and non-production pipeline and DevOps issues. Responsible for tagging and maintaining code on version control. Creating the Build & Deployment plans in Azure DevOps as per the project requirement.
E-commerce - Pepsico
May 29, 2026 – Present
Hosted scalable and resilient e-commerce platform supporting thousands of daily transactions. The application was containerized and deployed on Azure Kubernetes Service (AKS), ensuring high availability, secure deployments, and observability through a fully automated CI/CD pipeline. Roles & Responsibilities: Designed, developed and Setup of Azure Kubernates Services and deployed resources into the AKS Cluster. Provided engineering expertise for development of Microservices application by using HELM charts. Involved in troubleshooting and debugging the issues. Proactive to consolidate and update the daily status and highlight the risks upfront. Managed Git repositories, including branch and tag creation, and configured access permissions for the development team. Handled code versioning and tagging, ensuring traceable and stable releases. Designed and implemented Build and Deployment plans in Azure DevOps based on project requirements. Automated application deployments to test environments using Azure DevOps and deployment scripts. Implemented with Azure cloud services including Azure VM, Vnet, blob storage. Utilized Terraform for infrastructure provisioning and automation in azure environments. Developed Jenkins pipelines to automate builds and deployments of microservices using Docker, and deployed them to Kubernetes clusters. Implemented dynamic routing and load balancing using Ingress rules and controllers for scalable applications. Designed and maintained microservices-based architectures to support modularity, scalability, and maintainability. Built and managed distributed systems, ensuring high availability, fault tolerance, and performance at scale. Implemented CI/CD pipelines and container orchestration to accelerate development workflows and reduce deployment cycles.
Cultural Fit Analysis
The candidate has worked across various companies (Happiest Minds, Pepsico GBS, TCS, Mindtree, Yash Technologies) and projects (E-commerce, Metadata, Nokia), demonstrating adaptability and exposure to different organizational cultures and project types. The projects involve diverse technologies and responsibilities, aligning well with a dynamic DevOps environment. The breadth of skills across cloud platforms (Azure, AWS), CI/CD tools, and monitoring solutions indicates a versatile and growth-oriented individual, which is a good cultural fit for roles requiring continuous learning and innovation.
Soft Skills & Operational Fit
The candidate's resume highlights a commitment to continuous improvement, best practices in DevOps methodologies, and fostering a culture of high-quality solutions. Their experience in troubleshooting, proactive status updates, and managing Git repositories suggests strong operational awareness and a collaborative mindset. The description of managing end-to-end DevOps lifecycle indicates a holistic approach to project delivery.