Home

Srija - Azure Devops engineer

[email protected]

Location: Irving, Texas, USA

Relocation: Yes

Visa: H1B

Resume file: Srija_Azure_DevOps_Resume dice_1779985048900.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

IT Professional with 10+ years of experience in the IT industry as DevOps/Cloud Engineer, Build and release management. Experience in the Complete Software Development Life Cycle (SDLC), Waterfall, Agile environment and server-side deployment in the application, middleware layers. Experience in creating Terraform modules for two-tier Architecture which includes Azure resources VPC, Subnets, Security groups Load Balancers, Auto scaling group, Cloud watch Alarms, clusters, Azure buckets for logs. Proficient in implementing Azure Services, including VMs, Azure Container Instances, Azure DevOps, AKS, ACR, Azure Functions, Azure Storage, Azure Database, Subnets, VNets, Load Balancer, DNS, Autoscaling, Azure Resource Manager, Azure Monitor, Azure Security Center, Azure Active Directory, Azure Service Bus. Planning and implementation of data and storage management solutions in Azure (SQL Azure, Azure files, Blob storage, Table storage, Queue storage, File storage) and deployed Azure SQL Server. Working experience on Microsoft Azure Cloud services, Storage Accounts. Hands-on Expertise using Source code Management tools GIT, Bitbucket and SVN. Creating branching strategies for Developers and Admins also for Hot-fixes, Features, and Releases. Implemented Continuous Integration and deployment by automation scripts in a pipeline process. Experience in writing shell scripts to push the code from Jenkins. Experience in Continuous Integration (CI) and Continuous Deployment (CD) using Jenkins Created a Jenkins job that runs an Ansible Playbook to deploy an Elasticsearch cluster using troposphere and CloudFormation. Integrated AI/ML workflows into DevOps pipelines (MLOps) for model training, validation, and deployment; applied AIOps for anomaly detection, predictive alerting, and incident management. Worked on Kubernetes to orchestrate Docker containers of new and existing applications as well as deployment and management of complex run time environment. Experience in managing the clusters using Kubernetes and worked on creating pods, replication controllers, services, deployments, labels, health checks. A unique experience in creating and maintaining various DevOps related tools for the team such as provisioning scripts, orchestration, deployment tools and staged virtual environments using Docker. Hands-on experience with configuration tools like Chef and Ansible. Created several Cookbooks, Manifests and Playbooks to automate infrastructure maintenance & configuration. Experience in installing and Configuring Configuration Management tools like Chef, Ansible adding nodes as per the requirement and writing Chef recipes and Cookbooks, creating Run-lists and Ansible playbooks, Roles to have the task accomplished. Experience in developing the Playbooks in Ansible integrating them to the Source code repository and deploying them onto the servers to reduce the downtime. Proficient in setting up DataDog alerts to proactively detect and resolve issues. Additionally, ensuring thorough data collection by configuring DataDog agents across Docker containers and Kubernetes pods. Experience with Bug tracking tools like JIRA and Remedy to keep track of issues and progress of the issued tasks. Experience on creating Lambda functions to have the serverless provisioned using the Boto3 module of python. Skilled enough to build deployment and automate solutions(using scripting language like Bash,Shell and Python) Automated various day-to-day administration tasks by developing Bash, Ruby, JSON, Perl, PowerShell, and Python Scripts. Technical skills: Operating Systems Linux, Unix, Windows. Cloud Services Azure Cloud, Azure, Open Stack, Azure, PCF. Virtualization Platforms Oracle virtual box, Vagrant, VMware ESXI. Version Control Git, SVN, Bitbucket. Build Systems Maven, Ant. CI Tools Jenkins, Bamboo, Azure DevOps Networking TCP/IP, NFS, Telnet, FTP, DNS, DHCP, NAT, NetStat, HTTP, SAMBA, IPTABLES. Containerization Tools Docker, Kubernetes. Configuration Management Chef, Puppet, Ansible. Application Servers Oracle WebLogic, Tomcat, WebSphere. Web Servers Apache, Nginx. Databases Oracle, MYSQL,DynamoDB,PostgreSQL. Scripting Languages Shell, Ruby, Python,Terraform. Bug tracking and Ticketing tool JIRA, Rally. Work Experience: Client: Populus Financial Group, Irving, TX Role: Sr. Azure DevOps Engineer March 2025 Present Responsibilities: Understand the latest features like (Azure DevOps, OMS, NSG Rules, etc..,) introduced by Microsoft Azure and utilized it for existing business applications Developed automation system using PowerShell scripts and JSON templates to remediate the Azure services Created Azure services using ARM templates (JSON) and ensured no changes in the present infrastructure while doing incremental deployment. Acted as build and release engineer, deployed the services by VSTS (Azure DevOps) pipeline. Created and Maintained pipelines to manage the IAC for all the applications. Led on premises to private Azure Cloud migration, designing landing zones with VNet peering, NSGs, Azure Firewall, and private endpoints, ensuring secure workload transition with zero downtime. Developed PowerShell scripts for automation of deployment tasks, environment provisioning, configuration management. Built and maintained MLOps pipelines using Jenkins, GitLab CI, MLflow, and Kubernetes (AKS/EKS) for automated model training, validation, deployment, and monitoring workflows. Administered TFS and Git repositories, including branching strategies, merge conflict resolution, pull request reviews, and locking branches. Worked on implementing backup methodologies by Power Shell Scripts for Azure Services like Azure SQL Database, Key Vault, Storage blobs, App Services etc. Provided production support for CI/CD pipelines, Kubernetes workloads, and Azure infrastructure by troubleshooting deployment failures, application issues, and environment inconsistencies. Implemented CI/CD pipelines (Jenkins, Azure DevOps) to build, test, and deploy microservices that consume/produce messages via RabbitMQ and persist results into CouchDB. Leveraged various Azure services, including VNets, VMs, Azure Blob Storage, Azure SQL Database, Azure Active Directory (AAD), Azure DevOps, Azure Key Vault, Azure Container Registry, Azure Kubernetes Service (AKS), Azure Functions, Azure Monitor, Azure Security Center, and Azure Logic Apps. Integrated SonarQube into CI pipelines to enforce code quality standards, static code analysis. Implemented centralized monitoring and observability solutions using Azure Monitor, Log Analytics, Application Insights, and ELK Stack for proactive infrastructure and application monitoring. Used Azure App Service and ARM templates for automated application provisioning and scaling. Implemented high- availability and fault-tolerant solutions by utilizing Azure Auto Scaling, Azure Load Balancer, and Availability Zones. Orchestrated containerized applications on Azure using AKS and Azure Container Instances (ACI). Client: National Veterinary Associates (NVA), Dallas, TX Role: Sr. Azure DevOps Engineer July 2023 February 2025 Responsibilities: Managed and participated in incident response activities, including root cause analysis, post-incident reporting, and implementing preventive measures to minimize future incidents. Designed and deployed Azure PaaS infrastructure (App Services, Azure SQL, Functions, API Management) using Bicep templates with private endpoints and VNet integration. Leveraged various Azure services, including VNets, VMs, Azure Blob Storage, Azure SQL Database, Azure Active Directory (AAD), Azure DevOps, Azure Key Vault, Azure Contaisner Registry, Azure Kubernetes Service (AKS), Azure Functions, Azure Monitor, Azure Security Center, and Azure Logic Apps. Built end-to-end MLOps pipelines with Jenkins/GitLab CI, MLflow, and Kubernetes (EKS/AKS) for model training, validation, and automated deployment. Implemented Azure Policy, Blueprints, and RBAC governance models to enforce compliance, access control, and reduce security drift across multi-subscription Azure environments. Automated provisioning and application deployments with Azure DevOps CI/CD pipelines, ensuring secure, scalable, and repeatable environments. Automated GPU/TPU cluster provisioning using Terraform and Helm charts for cost-efficient ML training and inference workloads. Deployed real-time model monitoring with Prometheus, Grafana, and Evidently AI to track drift, latency, and accuracy, triggering automated retraining workflows. Integrated feature store (Feast/Databricks) and data quality gates (Great Expectations) into CI/CD pipelines for reproducible ML experiments. Implemented AI-driven anomaly detection in observability stack (Datadog, Splunk, Dynatrace) to reduce MTTR and improve proactive incident response. Optimized inference workloads via model quantization, autoscaling (HPA/KEDA), and blue/green rollouts, reducing latency and cloud spend. Configured Azure Sentinel and Microsoft Defender for Cloud for proactive threat detection, incident response, and continuous security posture assessment. Used Azure App Service and ARM templates for automated application provisioning and scaling. Implemented high- availability and fault-tolerant solutions by utilizing Azure Auto Scaling, Azure Load Balancer, and Availability Zones. Orchestrated containerized applications on Azure using AKS and Azure Container Instances (ACI). Utilized Azure Cost Management and Billing to analyze and optimize the costs associated with Packer-generated VM images, making recommendations for cost savings. Developed PowerShell and Python scripts to interact with Azure SDKs and APIs for custom automation solutions. Created Docker images, wrote Dockerfiles, and managed container registries. Automated provisioning of CouchDB clusters and RabbitMQ nodes using Terraform and Helm charts on Kubernetes (EKS/AKS), enabling reproducible deployments and scaling. Implemented CI/CD pipelines (Jenkins, Azure DevOps) to build, test, and deploy microservices that consume/produce messages via RabbitMQ and persist results into CouchDB. Configured Kubernetes networking components, including ingress controllers, load balancers, and service meshes (Istio) for efficient service discovery and routing. Designed and implemented end-to-end CI/CD pipelines using Jenkins and Azure DevOps to automate the build, test, and deployment processes. Developed CI/CD pipeline with Jenkins for the Kubernetes environment and utilized Kubernetes for the runtime environment for the CI/CD system to Build, Test, and Deploy. Constructed Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods, and orchestrated using Kubernetes. Configured and utilized Ansible Tower for centralized Ansible playbook management and scheduling, enabling continuous deployment and monitoring. Orchestrated application deployments on Kubernetes clusters using Kubernetes YAML files and Helm charts. Configured Kubernetes resources such as pods, services, deployments, and replica sets. Utilized Git as a source code repository for version control, branch management, and collaboration. Integrated Git with Jenkins pipelines to enable seamless code integration and deployment processes. Composed Groovy scripts for setting up LDAP configuration for Jenkins using security matrix and developed automated scripts and frameworks using Java, and Groovy script. Implement encryption using Azure Key Vault and secure data in transit using protocols like SSL/TLS. Developed and maintained disaster recovery plans for mission-critical applications in Azure and on-premises data centres, utilizing Azure Site Recovery, Azure Backup, and ARM templates. Integrated Datadog's distributed tracing and APM capabilities into the monitoring stack to identify and optimize performance bottlenecks across microservices. Experience in using the monitoring tools like Azure monitoring, Dynatrace to setup the desired alerts to avoid disruption. Implemented centralized log aggregation and analysis with Splunk. Created custom Splunk dashboards and alerts for real- time monitoring and incident investigation. Environment: Azure, VPC, Git, Python, Ansible, Git, Jira, Terraform, Kubernetes, , Jenkins, Linux, Windows, Oracle, Datadog Client: Walgreens, Chicago, IL Role: Azure DevOps Engineer July 2022 June 2023 Responsibilities: Configured an Azure Cloud VNet (Virtual Network) and Database Subnet Group for isolation of resources within the Amazon RDS Oracle DB cluster. Experience in designing and deploying Azure Solutions using Azure, EBS, an Elastic Load Balancer (ELB) and auto scaling groups. Established CIS/NIST compliant Azure environments, integrating Azure Security Center, controls, and encryption standards (KMS, BYOK, SSE, TLS 1.2) for enterprise-grade security. Supported instances and used Azure command line Interface to manage and configure various Azure services. Leveraged Azure Data Factory for automated data transformation and preparation, optimizing data for analytics. Wrote complex SQL queries and Spark jobs for data transformation and enrichment. Built end-to-end CI/CD pipelines in Azure DevOps (Repos, Pipelines, Artifacts, Boards) integrating SonarQube, security scanning, and automated approvals for controlled deployments. Leveraged Azure to facilitate the transformation and seamless transfer of substantial data volumes to and from various Azure data stores and databases, including Amazon and Amazon DynamoDB. Used Terraform for provisioning Azure resources and CloudFormation for defining and deploying infrastructure. Designed and implemented data lakes on Azure, storing and processing large volumes of structured and unstructured data. Automated on-demand backups, providing an additional layer of data security and reducing manual workload. Implement data security and access controls using Azure and KMS. Optimized Azure spend using Azure Cost Management, Budgets, and Reserved Instances, reducing cloud operational cost by X% through resource right-sizing and automation policies. Acted as DevOps mentor, coaching junior engineers on CI/CD best practices, IaC (Terraform/Bicep), and secure Azure infrastructure provisioning workflows. Experience working with Azure to create new accounts, roles and groups. Designed NoSQL Document Data Model for DynamoDB. Used Data-pipeline to off-load the DynamoDB at scheduled intervals. Installation, Configuration and Management of RDBMS and NoSQL tools such as Dynamo DB . Created, managed and performed container-based deployments using Docker images containing Middleware and Applications together and Evaluated Kubernetes for Docker container orchestration. Implemented CI/CD pipeline for micro services using bamboo, Docker, Kubernetes, Puppet. Designed infrastructure automation using ARM templates and Terraform, enabling repeatable, version-controlled Azure environment provisioning for hybrid cloud deployments. Integrated Jenkins with various Dev ops tools such as Nexus, SonarQube, Ansible and used CI/CD system of Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy. Installed Jenkins/Plugins for GIT Repository and Setup SCM Polling for Immediate Build with Maven Repository. Created datadog dashboards for various applications and monitored real-time and historical metrics. Created system alerts using various datadog tools and alerted application teams based on the escalation matrix. Application migration from PCF to EKS. Git lab pipeline design and development along with runner configurations. Participated in 24/7 on call support in rotation. Environment: PCF, Azure, Git, Python, Ansible, Git, Jira, Terraform, Kubernetes, Jenkins, Linux, Windows, Splunk, Datadog Client: Microsoft (AT&T Project), Hyderabad, India. Role: SR. Azure DevOps Engineer/Cloud May 2020 January 2022 Responsibilities: Worked on Azure Services like VPN, ENI, Security Groups, ELB, AMI, EFS, EBS, KMS keys, CloudFormation Templates, Autoscaling groups and Elastic search. Migrated on PCF applications to Azure Provisioned Server Infrastructure cluster using Terraform scripting. Worked on Access Management for Various applications and implemented security of applications by ForgeRock applications. Using different kinds of build tools like ANT, Maven, Gradle, and MS build. Monitoring the application using AppDynamics and OVO after deploying to a production environment. Design and implement the CICD architecture and automation solutions using GITLAB, Jenkins. Experienced in Gitlab CI and Jenkins for CI and for End-to-End automation for all build and CD Used Gradle and Maven as a build tool on Java based projects for the development of build artifacts on the source code. Transfer data from Datacenters to cloud using Azure Import/Export Snowball service. Participated in ongoing design, using Groovy Scripting (Shared Libraries) implementation, and maintenance of systems and tools to implement CICD pipeline. Created recommendations on how to duplicate a subset of on-premises machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premise data with SQL Server and SharePoint instances hosted in VMs. Worked on Azure Site Recovery and Azure Backup- Deployed Instances on Azure environments and in Data centers and migrating to Azure using Azure Site Recovery and collecting data from all Azure Resources using Log Analytics and analyzed the data to resolve issues. Used Docker for setting Azure Container Registry with Docker and Docker-compose and actively involved in deployments on Docker using Kubernetes Managed Continues delivery by setting up Helm charts in Argo CD with CI/CD configs and cross plane, automatically ArgoCD will deploy those changes once the PR is merged. Developed custom Cross plane Compositions to standardize resource provisioning patterns, reducing deployment time and ensuring consistent infrastructure across environments Implemented GitOps workflow with Crossplane for infrastructure management, improving accountability and reducing manual errors through version-controlled infrastructure definitions Implemented a CI/CD pipeline with Docker, Jenkins (TFS Plugin installed), Team Foundation Server (TFS), GitHub and Azure Container Service, whenever a new TFS/GitHub branch gets started, Jenkins, our Continuous Integration (CI) server, automatically attempts to build a new Docker container from it. Leveraging KubeVela to streamline application deployment, providing seamless experience for developers and operators alike Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services. Deploying applications across diverse cloud infrastructures using KubeVela, optimizing resource utilization and enhancing scalability. Orchestrated containerized applications on Azure using AKS. Created Docker images, wrote Docker files, and managed container registries. Established and maintained AKS clusters to orchestrate microservices, improving application deployment and scalability. Configured and managed clustered databases on Azure SQL Database servers. Responsible for designing and deploying best SCM processes and procedures with GitHub, GIT . Familiar with analyzing and resolving conflicts related to merging of source code for clear case. Achieved CI/CD Pipeline by using the GitHub, Jenkins, Artifactory, Ansible Playbooks. Utilized Cloud watch to monitor system metrics by configuring CloudWatch Dashboard. Created various scripts in Python and Ruby for automation of various build processes. Environment: Azure, PCF, VPC, Git, Python, Ansible, Git, Jira, Terraform, Kubernetes, , Jenkins, Linux, Windows, Oracle Client: Affluent Global Services, Hyderabad, India Role: Azure DevOps Engineer. July 2019 April 2020 Responsibilities: Handled migration of on-premise applications to the cloud and created resources inside a cloud and in deploying of on- premises hosted applications on Azure platform. Using Azure DevOps to enable Continuous Integration (CI) process and using Octopus Deploy tool for Continuous Deployment in Microsoft Azure. PowerShell scripts to automate tasks in Azure. Focusing completely on the continuous deployment pipeline and interacting with the cloud architect about the type of deployments onto the Azure resources. Created Python scripts to totally automate Azure services which includes web servers, ELB, Cloud Front distribution, database, and database security groups bucket and application configuration, this script creates stacks, single servers, or joins web servers to stacks. Partnering with development team to setup Git/ GITHUB/ GITLAB structures for effective development and release management. Deployed Lambda code function and configured it to receive events from Amazon buckets Created Lambda functions to implement tasks like taking EBS volume snapshots in regular intervals and copying the files in between the buckets only when the actions are triggered. Creating projects, service connections, and deployment groups to host agents in Azure DevOps. Implemented Azure solutions using RDS and Auto scaling groups, Optimized volumes and instances. Used Azure Storage services like migrating Blob Storage for document and media file, Table storage for structured datasets, Queue storage for reliable messaging for workflow processing and file storage to share file data Ownership for Azure SQL server DB deployment & managed the continues integration & continues deployment. Design the data model and creating schema on SQL Azure. Manager for installing Jenkins, Artifactory tools, etc., by running Helm charts. Worked on writing the Maven script for the build process and maintained the configuration file POM.xml for continuous integration. Integrated Jenkins CI/CD tool with SonarQube, Junit, Nexus to run unit tests and review and analyze the code for greater quality and then push it to the Artifactory server. Wrote Playbooks in YAML to automate the entire deployment process as well as infrastructure admin tasks and Used Ansible for Continuous Delivery, Managed CI/CD process and delivered all applications in RPMs. Implemented Packer to bake AMI s with Ansible Playbooks and build Packer AMI s, Terraform Enterprise to Provision Infrastructure across Workloads and Kubernetes Clusters, and Vault Enterprise for Secrets and Certificates Management using various Back-ends. Made the Ansible playbooks to manage the infrastructure components. Setup of Ansible tower for centralize management of servers and their manifests was done most recourse managed via ansible was filesystem and user access level for various application. Installed, Configured, Managed Monitoring Tools such as New Relic, CloudWatch and Nagios for Resource Monitoring, Network Monitoring and Log Trace Monitoring. Configuring and managing an ELK stack, set up the elastic search ELK Stack to collect search and analyze log files from across the servers. Utilized Nagios to monitor infrastructure health, server load, and application performance, setting up alerts for resource utilization thresholds. Ansible setup, managing hosts file, Using Yaml linter, authoring various playbooks and custom modules with Ansible. Building application, perform manual deployment and Automation through Jenkins on all the lower env s and make sure deployment is successfully completed. Utilized ServiceNow to manage change requests and incidents, ensuring compliance with release management protocols and reducing the risk of production disruptions. Configured Elastic Search, Log stash and Kibana and monitored Application and server logs using the ELK stack. JIRA as a Project management tool and used tool for issue tracking and Bug tracking. Environment: Terraform, Azure SQL, Kubernetes, Ansible, Docker, Jenkins, Git, Jira, Maven, ELK, Snowflake, Java, Shell, Bash, Python, Nexus, DynamoDB, WebLogic, Tomcat, Linux. Client: Virtusa Technologies, Hyderabad, India Role: DevOps Engineer April 2018 May 2019 Responsibilities: Involved in building and maintaining highly secure multi-zone Azure cloud infrastructure utilizing chef with AWS Cloud Formation and Jenkins for continuous integration. . Written templates in JSON format for cloud formation and python Script for CHEF automation and contributed source code to the GitHub repository. Built a deployment pipeline for deploying tagged versions of applications to AWS Beanstalk using Jenkins CI. Configured various jobs in Jenkins for the deployment of Java-based applications and running test suites. Setup ANT script-based jobs and worked with Jenkins Pipelines. Configured Jenkins to implement nightly builds on a daily basis and generated a change log that includes daily commits. Used configuration management tool Chef and created and managed Chef Cookbooks using recipes to automate system operations. Written Chef Cookbooks and recipes in python to Provision several pre-prod environments consisting of Cassandra DB installations, WebLogic domain creations, and several proprietary middleware installations. Created container based virtualized deployment using Docker working with Docker images, Docker-hub and Docker registries. Created dashboards to monitor servers using Splunk. Debugged and solved Splunk Integration challenges and Splunk configuration issues. Monitored and tracked server performance problems, administrations and open tickets with Splunk. Environment: AWS, Azure, RDS, EBS, Blob storage, Table storage, Queue storage, filestorage, BeanStalk, Jenkins, Ant, Chef, Docker, Git, Splunk Client: Xebia, Bangalore, India Role: DevOps Trainee January 2017 February 2018 Responsibilities Utilized VMware Virtual Client 3.5 in creating and cloning Linux Virtual Machines, and migrating servers between ESX hosts and building KVM hypervisor. Good hands-on experience with Source Code Management (Version Control System) tool GIT. Continuous Integration and Continuous Deployment (CI/CD) of the Applications into Azure Cloud. Creating and updating User Stories, tracking work items, and sprint planning (Azure Boards). Practice on scripting language PowerShell. Involved in setting up and configuring Install Server, Configuration Server & Boot Server using PXE booting for Kickstart process & performed Kickstart to install OS on Linux boxes. Configuring and Networking of AWS Virtual Private Cloud and Written CloudFormation templates and deployed AWS resources using it. Used AWS CloudWatch and ELK for maintaining system Logs. Installing, configuring and administering continuous integration tool Bamboo on Linux machines. Setup Master-slave architecture to improve performance and used Bamboo for CI & CD into Tomcat Application Server. Deployment of WAR, JAR and EAR packages into Jfrog Artifactory using shell/python scripts. Managing and architecting more than 3500 virtual servers and Monitoring the Application Servers and Web-Servers through Nagios. Environments: Solaris 8/9/10, Azure Cloud, VPC, NAT, CloudFormation, Terraform, Tomcat, Nginx, Git, Linux /Unix, Jfrog Artifactory, Bamboo, ANT, Maven, Python, Ruby, Chef, Docker, Nagios. Company: ANB Consulting Pvt Ltd, India Role: Junior Systems Engineer January 2016 December 2016 Responsibilities: Performed Linux system administration tasks including user and group management, file permissions, process monitoring, cron job scheduling, and service management on RHEL/CentOS environments. Set up and maintained Jenkins CI jobs for automated builds and deployments of .NET applications, configuring build triggers, post-build actions, and email notifications. Managed source code repositories using Git and SVN; enforced branching strategies, performed code merges, and resolved version conflicts for development teams. Wrote Bash and PowerShell scripts to automate routine system administration tasks including log rotation, disk cleanup, scheduled backups, and environment setup. Assisted in developing and maintaining internal tooling using C# and .NET Framework, supporting deployment packaging, configuration file management, and environment-specific builds for Windows-hosted applications. Configured and troubleshot TCP/IP networking including DNS, DHCP, NAT, and firewall rules (iptables) on Linux servers; supported internal network connectivity and VPN access for development environments. Deployed and monitored IIS-hosted .NET web applications across Dev, QA, and UAT environments; managed application pool configurations, bindings, and SSL certificates. Environment: Linux (RHEL/CentOS), Windows Server, Git, SVN, Jenkins, .NET Framework, C#, IIS, Bash, PowerShell, TCP/IP, DNS, , JIRA. Education Details: Masters: Computer Science (MS) From the University of New Haven Connecticut, USA. BTECH: -Information Technology From Muffakham College of Engineering & Technology. Certifications: Certified by Microsoft in AZ-104: Azure Administrator Associate . Certified by Microsoft in AZ-900: Microsoft Azure Fundamentals . Certified in Phoenix Project DevOps Simulation workshop. Keywords: csharp continuous integration continuous deployment quality analyst artificial intelligence machine learning database information technology microsoft mississippi Arizona Illinois Texas