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Click here or scroll down to respond to this candidate Candidate's Name
DevOps EngineerLinkedIn: http://LINKEDIN LINK AVAILABLEEmail Id: EMAIL AVAILABLEPhone: PHONE NUMBER AVAILABLEPROFESSIONAL SUMMARY: Having good 10+ years of experience in the IT industry as an Azure/DevOps with a major focus on Cloud Resource Utilization, Source Code Management, Infrastructure Automation, Continuous Integration, Continuous Delivery, and Continuous Deployment. Over 5+ years of experience as a DevOps Engineer and 3+ years of experience as a Linux Administrator. Experienced in Migrating on-premises data center workloads to cloud platforms and creating server-less architecture using AWS Lambda. Developing process automation PowerShell DSC 4.0,5.0. Setup and configure pull server, creating custom resources, working with various system modules and configurations. Highly proficient in the AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, Cloud Watch, Cloud Trail, Cloud Formation, AWS Config, Auto scaling, Cloud Front, IAM, S3, and Route53.
Knowledge in understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, Scrum, and Waterfall methodologies.
Hands-on experience in the configuration of network architecture on AWS with VPC, Subnets, and Internet Gateway and in creating snapshots and Amazon Machine Images (AMI) of the instances for backup and creating clone instances.
Experience in provisioning and administering EC2 instances and configuring EBS, S3 cross-region replication, Elastic Load Balancer, configure Auto scaling, setting up CloudWatch alarms, Virtual Private Cloud (VPC) and RDS, based on architecture. Successfully implemented Chef Infra for configuration management, automating infrastructure provisioning and application deployments. implemented automated backup and disaster recovery strategies for MongoDB databases on Azure, ensuring data availability and minimizing potential data loss. Experience in maintaining AWS Identity and Access Management (IAM) components including creating users, groups, roles, policies, and access control for various AWS services. Architect and implement ETL and data movement solutions using Azure Data Factory (ADF), and SSIS. Proficient in creating Cloud Formation templates that describe all AWS resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS. Experience in working with Terraform for automating ELBs, Security Groups, SQS Queues, and S3 Buckets, and continuing to replace the rest of our infrastructure. Expertise in Azure Development worked on Azure web application, App services, Azure storage, Azure SQL Database, Azure Virtual Machines, Azure AD, Azure Search, Azure DNS, Azure VPN Gateway, and Notification hub. Experience with Server-less services and configuring HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the Applications using the VSTS and monitored OMS Log Analytics in Azure Security Center for Troubleshooting the Compute, Storage, and Networking.
Expertise in leveraging ServiceNow for incident management, change management, and other ITSM processes. Experience in creating and managing pipelines using Azure Data Factory, copying data, configuring data flow in and out of Azure Data Lake Stores according to technical requirements. Experienced in deploying the code through web application servers like Web Sphere, Web Logic, Apache Tomcat, Nginx, and JBOSS. SQL programming knowledge and experience with MySQL, Postgres, Casandra, Redis, Oracle DB, and MongoDB.
Ability in development and execution of XML, PowerShell, Python, Bash, and Ruby Scripts.
Experience creating pods and clusters in Kubernetes and deploying those using OpenShift. Good understanding of the OpenShift platform in managing Docker containers and Kubernetes Clusters.
Migration of on-premises data (Oracle/ SQL Server/ DB2/ MongoDB) to Azure Data Lake Store (ADLS) using Azure Data Factory (ADF V1/V2). Engineered robust CI/CD pipelines to accelerate software delivery, integrating Jenkins or GitLab CI with OpenStack for streamlined build and deployment processes. Implemented zero downtime deployment process in WebLogic using Python and Ruby, shell script and automated it using integrations tool Jenkins. Experience with SQL queries on database platforms such as MySQL, Oracle, and Microsoft SQL Server.
Deployed and configured Chef server including bootstrapping of Chef client nodes for provisioning and experience in developing Chef recipes through Knife command-line tool through Ruby scripts to create Chef cookbooks to manage systems configuration on Chef Server to initiate Chef Nodes. Experience in integrating Ant and Maven build tools with Jenkins to automate the build process as a part of continuous delivery.TECHNICAL SKILLS:Programming Languages: Java, .Net, PERL, Ruby, PythonScripting Languages: PowerShell, Python, shell, Bash, Ruby, Perl, Groovy, YAMLOperating Systems: Windows 95/98/XP/NT/2000/7/Vista/2003/2008, Sun Solaris 2. x, RHEL, UNIX, LINUX, Mac OS, Centos, UbuntuDatabases: Oracle, MySQL, SQL Server 2000, MongoDB, DB2CI Automation/ Build Tools: ANT, Maven, Gradle, Jenkins, BambooConfiguration management tools: Ansible, Chef, Puppet, TerraformArtifactory management tools: Nexus, JfrogContainerization tools: Docker, KubernetesCloud Platforms: AWS, AzureWeb Servers: Apache, NginxApplication Servers: Apache, Tomcat, Oracle DB, WebLogic, JBoss, Web SphereServices: IaaS, PaaS, SaaSTesting Tools: SonarQube, SeleniumVersion Control System: Subversion (SVN), GIT, GitLab, CVS, GITHUBMonitoring Tools: Splunk, AppDynamics, Datadog, Netcool, CloudWatch, CloudTrail, Splunk, Prometheus, GrafanaTicketing and Tracking Tools: JIRA, Bugzilla, ServiceNowCertifications: Certified Microsoft Azure
Certified Kubernetes Administrator Certified AWS Associate Developer
Work Experience
Title: Sr. DevOps Engineer / Site Reliability Engineer June 2022 Till date PNC Bank, Pittsburgh, PA Responsibilities: Evaluated the integration of Maven with the CI/CD process for automated builds and deployments. Integrated Chef with Azure Monitor and Azure Log Analytics for real-time monitoring, logging, and insights into the infrastructure. Created Azure apps using in-app service by different types of languages like Python, and Visual Studio, and Stored data on Azure Virtual machine. Worked with both Azure and AWS Multi-Cloud did setup Azure Data Platforms using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage by setting up Self Hosted Integration Runtime and integrated with Snowflake SaaS Cloud Warehouse and Implemented AWS solutions like EC2, S3, IAM, Elastic Load Balancer (ELB), EBS, EKS, Security groups, Auto scaling Group, CloudFront CDN, Route53 Route management using Cloud Formation/Terraform templates. Expertise in Microsoft Azure Cloud Services (PaaS & IaaS), Application Insights, Document DB, Azure Monitoring, Key Vault, Visual Studio Online (VSO), and SQL Azure. Experience in Migrating Java Tomcat containers from On-Prem to AWS Beanstalk, Lambda, and EKS. Migrated SQL Database from On-Prem to Azure SQL Elastic Pool using Data Lake as staging area and Azure Data Factory as Orchestration Tool. Did Setup Azure App Services and App Service Plans Slots for Blue Green Deployments and deployed Serverless Azure Function Apps with Consumption Plan and Invoking Functions with Service Bus and Azure Storage Trigger and Azure API Management. Extensive hands-on experience in designing and implementing CI/CD pipelines using Spinnaker to automate software delivery processes. Leveraged Chef to interact with Azure Resource Manager (ARM) templates, automating the deployment and configuration of Azure resources. Implemented security-focused ELK configurations for monitoring and alerting on suspicious activities and potential security threats. Leveraged Splunk for security information and event management (SIEM) to detect and respond to security threats and integrated Splunk for monitoring logs and metrics from containerized environments. Deployed and managed API Gateway solutions to facilitate secure and scalable API access. Configured API Gateway policies to handle authentication, authorization, and traffic management. Did set Cosmos DB using Terraform Modules and configured Global Read/Write and configured RTUs. Worked on Server-less services (Azure Functions) created and configured HTTP Triggers in the Azure Functions with Application Insights for monitoring and performing load testing on the Applications using the VSTS. Deployed application which is containerized using Docker onto a Kubernetes cluster which is managed by Azure Container Service for Kubernetes (AKS). Managed Azure infrastructure resources, like virtual machines, DNS, Virtual Networks, subnets, and docker containers using the IaC tool Terraform. Utilized Jenkins for managing IaC tools like Terraform to provision and configure resources in both AWS and Azure. Scaled Jenkins platform for high availability, establishing master-slave clustering, and handling CI/CD. Optimized GitLab speed by 4X using caches, artifacts, and parallel jobs while enforcing CI/CD quality gates. Optimized GitLab speed by 4X using caches, artifacts, and parallel jobs while enforcing quality gates. Developed automation scripts in YAML using Ansible to deploy and manage Java applications across Linux servers. Worked on the creation of custom Docker images, tagging, and pushing the images, Docker containers, and Docker consoles for managing the application life cycle. Used Azure Kubernetes Services to manage containerized applications using its nodes, Config Maps, replica sets, selectors, and Services and managed using Azure Kubernetes service. Orchestrated Continuous Integration (CI) pipelines across environments with Azure DevOps (VSTS), allowing reliable code deployment in Azure Kubernetes Services (AKS) using YAML scripting. Implemented security best practices for ELK Stack to ensure data integrity and protect against unauthorized access. Integrated Azure DevOps Boards with Microsoft Teams and Pipelines for streamlined Sprint Boards and Teams notifications. Integrated Azure Log Analytics with Azure VMs for monitoring the log files, storing them, and tracking metrics. Utilized Git and Bitbucket for seamless version control and collaborative code management, enhancing team efficiency and project scalability. Demonstrated proficiency in designing, implementing, and managing DynamoDB databases. Migrated Containers running at On-Perm OpenShift cluster to EKS Cluster by writing HELM Charts and integrating with GitHub Actions, and Azure DevOps Pipelines. Implemented Datadog for real-time log monitoring, analysis, and visualization, enhancing operational insights and facilitating proactive issue resolution in a dynamic DevOps environment. Implemented Datadog APM to trace and analyze application performance, identifying bottlenecks and optimizing code. Optimized HELM charts for app deployment on Azure Kubernetes Service (AKS), using Jenkins in Azure pipelines to build and manage microservices as Docker images deployed on Kubernetes Pods. Utilized Ansible and Ansible Tower for Configuration Management, overseeing Ansible Playbooks, roles, variables, and inventory. Implemented fault-tolerant and high-availability systems to ensure uninterrupted service and disaster recovery, significantly reducing downtime and enhancing overall system reliability. Integrated Dynatrace with Jenkins, Jira, and ServiceNow to correlate deployments, issues, and tickets with precise problem identification across dev and prod environments. Developed PowerShell scripts to automate the setup and configuration of monitoring tools like Prometheus, ensuring seamless integration with the multi-cloud infrastructure. Integrate PowerShell scripts into CI/CD pipelines for automated testing, validation, and deployment of infrastructure changes in an AWS setup. Utilized Prometheus as the monitoring solution to collect and store metrics from various cloud providers. Deployed Prometheus for monitoring and alerting across all cloud environments. Implemented Grafana for creating unified dashboards that consolidate metrics from different cloud providers.
Created documentation for deployment processes, infrastructure configurations, and best practices, facilitating knowledge transfer between DevOps and development teams.Environment: Kubernetes, Jenkins, AWS, Azure, Azure Repos, Azure DevOps Pipeline, Shell, Python, Docker, Terraform, Ansible, Chef, AKS, OpenShift, Helm, Groovy, SonarQube, My SQL, Postgres, Snowflake, Prometheus, Grafana, Splunk, Git, Maven, Jira, Dynatrace.
Title: Sr DevOps Engineer April 2021 - May 2022 Client: Staples, Overland Park, KS Responsibilities: Created and Deployed CI pipeline for React application which includes lint and unit test stages using AWS Code Commit and AWS Code Build. Migrated PostgreSQL databases from on-perm to AWS RDS instance with minimal downtime using AWS DMS service. Created custom metrics and dashboards in Datadog tailored to specific application and infrastructure requirements, providing actionable insights for performance optimization. Implemented infrastructure as code using Terraform to provision and manage cloud resources, ensuring consistent and repeatable infrastructure deployments. Developed Cloud Formation templates for manually provisioned AWS infrastructure and migrated to compliance AWS control tower. Orchestrated and managed containerized instances of SQL LRS, LRS Pipe, and EDLM components (ECC, ELRR, LDSS, ECCR) using Docker and Kubernetes on AWS. Utilized AWS services such as Amazon ECS and EKS for container orchestration and scaling to ensure high availability and reliability of applications. Automated the deployment process using CI/CD pipelines (e.g., Jenkins, AWS Code Pipeline) to streamline the release of updates and patches to Moodle and EDLM components. Set up centralized logging with tools like AWS CloudWatch Logs and ELK stack to gain insights into containerized application performance and troubleshoot issues proactively. Implemented robust monitoring and alerting systems for EKS clusters using tools like Prometheus, Grafana, or CloudWatch, enabling proactive identification and resolution of issues before they impact services. Implemented and maintained AWS Key Management Service (KMS) for encryption and key management across various services. Proficient in working with Lambda, EKS, Kafka, GitHub, and TeamCity, demonstrating a strong understanding and practical application of these tools in the DevOps lifecycle. Expertly harnessed Terraform for infrastructure provisioning, coupled with Hash Corp Vault and Foreman for secure secrets management and configuration management. In-depth understanding of network topologies and protocols, including DNS, HTTP(S), SSH, FTP, and SMTP, ensuring reliable communication and connectivity. Designed and implemented CI/CD pipelines using tools like Jenkins, AWS Code Pipeline, or GitLab CI/CD to automate the deployment of infrastructure scripts and applications. Integrated Jira with CI/CD pipelines and version control systems like Git, linking code commits to Jira issues and automating issue status updates based on code changes. Provisioned AWS infrastructure services like VPC, EC2, Auto scaling Groups, ELB, Elastic Search, RDS, Lambda, S3, Cloud Watch Event rules, ECS, Cloud Front, etc., using Cloud Formation. Involved in integrating Docker container-based test infrastructure into the Jenkins CI test flow and setting up a build environment integrating with GIT and JIRA to trigger builds using Webhooks and Slave Machines. Written Ansible playbooks, which are the entry point for Ansible provisioning, and in which the automation is described through tasks in YAML format to build a Continuous Delivery (CD) pipeline and execute Ansible Scripts to provide Development servers. Integration of ELK Stack into CI/CD pipelines for real-time monitoring and analysis of application logs. Splunk experience includes installing, setting, and troubleshooting the software, and monitoring server application logs with Splunk to detect production issues. Implemented containerization strategies using Docker and Kubernetes to deploy and manage ML applications, streamlining the deployment process and ensuring consistency across environments. Experience integrating DevOps processes and workflows with ServiceNow to enhance IT service delivery and automation. Proficiency in creating and managing Jenkins pipelines using the Jenkins DSL plugin and Groovy scripting. Wrote Python Code using Ansible Python API to Automate the Cloud Deployment Process.
Used Bash and Python including Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks. Worked on data analytic tool Grafana for monitoring network end-to-end infrastructure. Performed AWS Cloud administration managing SES and SNS services. Developed Python Modules for Ansible Customizations. Involved in using Terraform to migrate legacy and monolithic systems to Amazon Web Services. Involved in the development of a test environment on Docker containers and configuring the Docker containers using Kubernetes.Environment: AWS (EC2, S3, RDS, EBS, and Elastic Load Balancer, Auto scaling groups and optimized volumes, EC2 instances), VPC, subnets, NAT, EC2 instances, ELB, Security Groups. VMware, Jenkins, Docker, Docker containers, Kubernetes, Terraform, JIRA, RPM/YUM, Apache and MySQL database. JBoss, Apache, WebLogic, Tomcat, Grafana, and NetApp storage LUNs to the Red Hat Linux servers.Title: Azure DevOps Engineer Nov 2019 - Mar 2021 Client: American Express, Phoenix, AZ Responsibilities: Managed Azure Security groups using Azure Portal and PowerShell scripts and attached them to VMs and Subnets Docker environments created and maintained for containerized micro services-oriented environments and for hosting images configured private container registry on Microsoft Azure by creating docker files. Created and managed pods. Migrated the Micro Service Based applications from Virtual Machines to Docker containers and Docker registry. Data from On-Premises SQL Database servers to Azure SQL Database servers was sent by designing the Azure Data Factory Pipelines using the Azure Data Factory Copy tool and Self-Hosted Runtimes. Configured Azure web apps, Azure App Services, Azure Application Insights, Azure Application Gateway, Azure DNS, Azure Databricks, Azure Traffic Manager, App services, Analyzing Azure Networks with Azure Network Watcher, Azure stack, Azure Backup and Azure Automation. Code repository management, code merge and quality checks with Azure repos. Worked with various Azure services like Web Roles, Worker Roles, Azure Websites, Caching, SQL Azure, Networker servicers, API Management, Active Directory (AD) services infrastructure in advocating, maintaining, and monitoring and Azure Active Directory (AAD) infrastructure, incorporated with periodic auditing, troubleshooting, and performance. Created and managed Kubernetes Pods, Services, Config Maps, and Deployments. Developed automation of Kubernetes clusters with Ansible, writing playbooks with YAML Scripting. Used Ansible and Ansible Tower as configuration management tools to automate repetitive tasks, patching, and software deployment. Used Maven Build tool & and wrote pom.xml in MAVEN project and updated dependencies and plugins with Bamboo. Used Bamboo for Configuring various Corn jobs, continuous Integration by merging code into Bitbucket central repository, and used CI server Bamboo to build and validate code with a series of automated tests. Created local, virtual repositories in Nexus Artifactory, and is integrated with Bamboo, and have implemented a headless protocol for pushing and pulling changes from Bamboo to the Nexus repository. Bamboo is used to deploy on the Web Logic Application Server. Developed Terraform scripts to build, change, and version infrastructure as code.Environment: Microsoft Azure (Including ASP, VNETs Web & Mobile, Blobs, Resource groups, Key Vault, Azure SQL, CouchDB, RabbitMQ), Bitbucket, Ansible, Docker, Kubernetes, Bamboo, Maven, PowerShell, Azure Repos, Terraform, Bamboo.Title: DevOps Engineer Oct 2018 - Oct 2019 Client: Autodesk, Atlanta, GA. Responsibilities: Involved in DevOps migration/automation processes for build and deploying systems.
Used SCM/Build tools for Developers. Worked with Ansible playbooks for virtual and physical instance provisioning, Configuration management, and patching through Ansible.
Worked in an agile development team to deliver an end-to-end continuous integration/continuous delivery (CI/CD) product in an open-source environment using tools like Puppet, and Jenkins.
Configured and monitored distributed and multi-platform servers using Chef.
Set up and build AWS infrastructure using various resources, VPC EC2, RDB, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS, and RDS in Cloud Formation JSON templates, Route53, Lambda.
Worked on AWS for deploying EC2 instances consisting of various flavors viz., Oracle Linux, RHEL, CentOS, Ubuntu, and Solaris in both Linux and Windows.
Developed build and deployment scripts using Gradle and Ant, Maven as build tools in Jenkins to move from one environment to another environments.
Build Java code onto different Jenkins servers as per the schedule.
Experience in working in .Net applications and branching, Tagging, and Release Activities on Version Control Tools like GIT and Subversion (SVN).
Installed Nexus repository tool to maintain the artifacts/dependencies jars.
Involved in the development of a test environment on Docker containers and configuring the Docker containers using Kubernetes.
Knowledge of Splunk content development with the ability to create queries and dashboards.
Worked with the Open Shift platform in managing Docker containers and Kubernetes Clusters.
Created and maintained the Power Shell scripts and Perl scripts deployment scripts for Tomcat application servers. Built and Deployed Java/J2EE to a web application server in an Agile continuous integration environment and automated the whole process.
Responsible for performing the Security Scans, defect tracking, defect reporting, and defect reproducing using SonarQube, Bugzilla, and JMeter.
Environment: Java, Maven, ANT, Gradle, groovy, GIT, SVN, Puppet, Jenkins, Ruby, Splunk, JMeter, Tomcat, Sonar Qube, Bugzilla, Shell, and Perl Scripts, Ansible, PowerShell, Nexus, RHEL 5.x/6.x,Title: Build and Release Engineer. May 2017 - Sep 2018Client: Blackhawk Network, Sunnyvale, CA.
Responsibilities: Integrated Ansible with Jenkins to provide automation, continuous integration, and continuous Deployment through Jenkins and wrote Playbooks to automate Ansible servers using YAML scripting. Responsible for creating Puppet modules and manifest files from scratch and experience in editing existing Puppet manifests and automated manual installation processes using Puppet. Handling Jenkins-related activities such as creating new users with the right privileges, configuring the new builds, adding/deleting Jenkins slaves, and resolving any Jenkins-related issues. Setting up continuous integration and formal builds using Bamboo with the Artifactory repository and Resolved update, merge, and password authentication issues in Bamboo and JIRA. Involved in software builds, creating directories, and security groups, and recreating prior versions. Monitored software, hardware, and middleware updates and utilized technologies like Bamboo, Ant, MS Build, TFS Team, and Bitbucket. Used Jenkins for Continuous Integration and deployment into Tomcat/Apache Application/Web Server. Deployed Puppet, Puppet Dashboard, and Puppet DB for configuration management to existing infrastructure. Configured and maintained Jenkins to implement the CI process and integrated the tool with Ant to schedule the builds, Configured Jenkins with Plugins and created Jobs and wrote ANT Scripts to automate the build process. Managed GIT, and Bitbucket repositories for branching, merging, and tagging. Maintaining the artifact repository called Nexus and moving the builds to it using Jenkins. Used JIRA as a ticket tracking and workflow tool. Created JIRA Support Project/Agile board to track support issues. Design and configure the release process through Jenkins, and JIRA. Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to another environments.Title: Unix/Linux Administrator May 2013 - Nov 2016Client: Trimax Americas, Hyderabad, India.
Responsibilities: Handling User Management (creating/editing / allotting User Accounts and Groups). Assigning File and Directory Level Permissions to End-users. Performance monitoring of Unix Servers (CPU, Memory, Disk I/O). Configuring and managing services like NFS, SSH, and Telnet.
Installation, configuration, and upgrade of Redhat Linux 4/5, Suse Linux 10/11, HP-UX 11i, and IBM AIX operating systems Installed, configured, and managed Oracle Real Application Cluster (RAC) in Solaris, HP-UX, and Linux servers. Expertise in Global File System (GFS), Creating, configuring, and managing clusters in Redhat Linux Servers using GFS. Installed, configured, and managed Redhat Cluster Suite in Linux servers. Planned and implemented migrations from lower end to higher end in OS level and Hardware level in Solaris, HP-UX, and Linux servers. Configured and managed the Red Hat satellite Network server, performing package management tasks and errata updates. Updated the systems using Redhat Enterprise Network (RHN), Managing and monitoring through RHN.Education:
Bachelor s in Computer Science from JNTUK, India.
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