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Devops Engineer with 6+ years in Azure & AWS Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Having over 5 years of overall IT experience, including 3+ years of hands-on experience as a DevOps Engineer in build and deployment automation through tools like Azure, DevOps, Git & Github, Maven, Jenkins, Ansible, Docker, Kubernetes and AWS Cloud. Proficient in effectively handling configuration, deployment of infrastructure & services. Implementing core DevOps concepts such as containerization, virtualization, version control, cloud computing and administration.
Visvesvaraya Technological University
BE · Mechanical Engineering
N/A – June 30, 2019
Team Lease Regtech Pvt ltd
DevOps Engineer
February 1, 2024 – Present
India
Fidelis corporate solutions Pvt. Ltd Client of dxc technology
DevOps Engineer
November 1, 2022 – February 1, 2024
India
VW Technology Pvt. Ltd Client of dxc technology
DevOps Engineer
January 1, 2022 – November 1, 2022
India
ALEMBIC PHARMACEUTICALS PVT LTD
System Admin
February 1, 2020 – August 1, 2021
India
E-procurement and KPPP
June 15, 2026 – Present
Hands on experience in writing the play for AWS requirements like EC2 instance and VPC creation. Created Azure DevOps pipeline as well as worked in CI/CD pipeline in Jenkins. Designed VNets and subscriptions to confirm to Azure Network Limits. Written the Azure pipeline scripts for deploying the Kubernetes services. Experience in Azure Databricks cluster creation and Notebooks creation. Working experience in Key Vault. Good knowledge encrypting data using Azure Key Vault and decrypting data in Azure data bricks using Scala and Python notebooks. Good experience in Setting up environment in Azure from scratch. Created Terraform for AWS Services EC2, S3, VPC, ECS, ECR, EKS, RDS, CloudWatch. Worked Terraform in Azure cloud for Environment Provisioning. Written Azure Terraform for services virtual machine creation, Storage account creation, Key vault encryption. Created Terraform for storage account creation with Private endpoint. Worked in Application Gate way Setup. Good knowledge Azure Virtual Machines creation. Working experience in Azure Function app. Hands-on experience to build and handle VM's, Containers utilizing tools like Docker. Build and publish your own custom images in Docker. Experience in automation tools like Chef, Jenkins, Git. Configured and managing security groups and VPC. Good knowledge in writing Terraform for AWS Environment Provisioning. Good experience in automating the process of uploading the packages from Jenkins using backup repository Nexus. Responsible for administering and supporting version control systems (SVN and GIT) on Linux.
MASS
June 15, 2026 – Present
Mass is web application and the main aim to manually test the various activities of the hospital. The main activities covered are Doctors information, patient details, Nurse information, Pharmacist information and Lab details. This project also maintains inpatient, outpatient, dispensary information. This project also maintains Birth certificates, Death certificates and even medical certificates. Various reports are provided by daily, monthly, yearly for fee bill information. Designed and configured Azure Virtual Networks (VNets), subnets, Azure network settings, security policies and routing. Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets. Designed VNets and subscriptions to confirm to Azure Network Limits. Define cloud network architecture using SS, VPN and express route to establish connectivity between on premise and cloud. Develop PowerShell scripts and ARM templates to automate the provisioning and deployment process. Troubleshoot and identify performance, connectivity and other issues for the applications hosted in Azure platform. Written ARM templates for Azure services Storage accounts, Azure Databricks, KeyVault, Application gateway. Worked in Azure Databricks for creating Databricks workspace. Experience in Azure Databricks cluster creation and Notebooks creation. Written the Azure pipeline scripts for deploying the Kubernetes services. Deployed JupyterHub application using Azure VMs and installed JupyterHub in Kubernetes service. Implemented Azure diagnostic settings for the Azure storage account and Azure Databricks. Written ARM templates for Log analytics Workspace creation. Enabled diagnostic settings using ARM templates for the Azure services Azure storage account and Azure Databricks. Good knowledge in mounting storage accounts to Azure Databricks cluster. Good knowledge in PV and PVC in Kubernetes. Worked in Secrets and namespaces and configmaps in Kubernetes.
Cultural Fit Analysis
The candidate's experience spans multiple companies and projects, showcasing adaptability to different environments. The breadth of skills across AWS, Azure, and various DevOps tools suggests a willingness to learn and apply diverse technologies, which aligns well with dynamic DevOps cultures. The focus on automation and efficiency in project descriptions indicates a mindset that values continuous improvement, a key aspect of cultural fit in many tech organizations. However, without direct insights into team interactions or problem-solving approaches, a deeper cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on technical implementation and operational tasks, suggesting a detail-oriented and execution-focused approach. The emphasis on troubleshooting and managing cloud environments implies problem-solving skills and a proactive stance in maintaining system health. However, the resume does not provide explicit details on collaboration, leadership, or communication in a team setting, making it difficult to assess soft skills comprehensively.