SUMMARY

• Around 7+ years of experience in IT Professional and 5 years specialization in Cloud/DevOps Engineer, experienced in DevOps, Build/Release Continuous Integration, Continuous Deployment, Configuration Management on each packaging Quality Control and which also includes Trouble shooting and performance issues on Linux and Windows platforms.
• Involved in designing and deploying a large application utilizing almost all the AWS stack (Including IAM, EC2, S3, Route 53, ELB, Code Commit, Code Build, Code Deploy, RDS, Glue, Dynamo DB, SNS, SQS, Cloud Formation, EBS) focusing on high - availability, fault tolerance, and auto-scaling in Aws cloud.
• Cost optimization for Aws services and build Serverless Architecture by using Lambda functions, STEP Function, Athena, Glue, S3, CloudWatch and Cloud Metrics.
• Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and Implementing using, Aws, Azure, Cloud Platform understanding the principles of (SCM) in Agile, Scrum and Waterfall methodologies.
• Manage the Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft Azure Storage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloud services (web and worker roles) on Azure, using VS and PowerShell.
• Developed Agile processes using Groovy, JUnit to use continuous integration tools Worked for designing and creating a Micro services delivery platform Initiative.
• Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, octopus, Chef, Ansible, Terraform, Docker, Kubernetes, Nagios and ELK.
• Experience in working with Terraform for automating VPC's, ELB's, Security groups, SQS queues, S3 buckets and continuing to replace the infrastructure as a code from scratch.
• Setup automated build, test and release platform using TeamCity, Jenkins pipeline as a code, SonarQube and JFrog Artifactory to be triggered on every code commit.
• Developed in AWS CLI script automation for EMR (end-to-end) and other AWS services and build Serverless Arch using Lambda (Boto3) and Step Functions.
• Knowledge in load balancing and setting up load balancer and firewall rules in enterprise environment Build scripts on Aws cloud for scheduling EC2 auto scaling load balancer with PYTHON sdk.
• Implementing CI (Continuous Integration) Configuring Jenkins and TeamCity servers creating required scripts (Bash shell, Perl & Python), and creating/configuring VMs (Windows/Linux) also Created Infrastructure report of system configurations using Power Shell Scripts.
• DevOps practice for Micro Service and docker based cluster using Kubernetes and spinnaker as Orchestrator on application development for cloud platforms using like Spring boot, Microservices.
• Experience using MAVEN and ANT build tools for building of deployable artifacts (jar, war & ear) from source code. Automated weekly releases with ANT/MAVEN scripting for Compiling java code dubbing.
• Building/Maintaining Docker container clusters managed by Aws, Linux, Bash, GIT, Docker. Utilized kubernetes kops cluster and Docker for the runtime environment of the CI/CD system to build, test deploy.
• Written cookbooks for Web Logic, JDK 1.7, and Jenkins, tomcat, JBoss and deployment automation for creating Cookbooks comprising all resources, data bags, templates, attributes and used knife commands to manage Nodes onto Chef Server.
• Automated Various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible Playbooks and integrated Ansible with Jenkins also provisioned and patched servers using Ansible.
• Used monitoring tool like Dynatrace, Splunk, Nagios, Configured, and Managed Monitoring Tools such as Nagios for Resources Monitoring/Network Monitoring/Log Trace Monitoring.

TECHNICAL SKILLS

Cloud Environments: AWS, Azure, Google Cloud (GCP)

Operating Systems: Red Hat Linux, CentOS 6 & 7, Ubuntu12.x, 13.x, 14.x, Windows 98, Vista, Windows Server 2003, 2008, 2012, VMware ESX and Mac OS.

Web/ Application Servers: Apache Tomcat, WebLogic, JBoss 5.x/6.x/7.x, Web Sphere Administration, IIS and Nginix.

Databases: MySQL, MemSql, Oracle, MySQL, Mongo DB, PostgreSQL, RDS, ElastiCache

Version Control Tools: Subversion, TFS, GIT, GIT HUB, SVN, Bitbucket.

Configuration Management: Ansible, Chef, Puppet

CI/CD Tools: CloudBees Jenkins/Hudson, Team City, Maven, SonarQube, Nexus Artifactory.

Container Tools: Kubernetes, Docker, OpenShift

Monitoring Tools: Dynatrace, Grafana, Nagios, Splunk, AWS cloud watch, ELK

Scripting Languages: Ruby, Python, Golang, groovy, Unix Shell scripting, Node JS, XML, HTML, JAVA, JEE, JavaScript, Angular JS, Power Shell, JSON, YAML, AWS Lambda.

Bug Tracking & Testing tools: JIRA, J Unit, J Meter Test Flight, Test Rail, Selenium.

Networking: TCP/IP, NFS, DNS, VPN, DHCP, WAN, HTTP, LAN, FTP/TFTP, VMware nexus switch, IP Networking, F5 load balancer.

PROFESSIONAL EXPERIENCE

Azure Kubernetes Administrator/DevOps Engineer

Confidential, CA

Responsibilities:

• Administrating and supporting company’s Azure kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team.
• Working as Kubernetes Administrator, involved in configuration for web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure traffic manager, App services.
• Setting up the complete Kubernetes Dev Environment from scratch to deploy latest tools which is related to Deep learning and machine learning using helm charts on premises BareMetal for different teams.
• Configured V-net integration, Active directory, Encryption and security on Azure using ARM templates and PowerShell scripts.
• Setting up the complete Kubernetes Dev Environment from scratch to deploy latest tools which is related to Deep learning and machine learning using helm charts on premises BareMetal for different team.
• Responsible to configure alert notification to monitor CPU metrics, VM health’s and events logs.
• Deployed VNETs and site-site VPN using PowerShell and deployed VMs into various subnets and enabled communications between subnets.
• Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process.
• Successfully created kubernetes pipeline of deployment & operation activities where all code is written in java, python & stored into bitbucket, for staging & testing purpose.
• Preferable Azure by creating multilevel hybrid pipeline of CI & CD helped clients to achieve kubernetes platform.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, stack monitoring using Ansible Playbooks using Jenkins.
• Implemented cluster services using Docker and Azure Kubernetes services (AKS) to manage local deployments in kubernetes by building a self-hosted kubernetes cluster using Jenkins CI/CD pipeline.
• Maintained and automated the scripts by using Python for automated deployments.
• Developed Ansible playbooks to manage Web Applications, Environments configuration files, Users, Mount, points and packages. Implemented Continuous Integration using Jenkins and GIT.
• Familiar with helm charts for deployment manager to use of charts and templates for listed file names.
• Implemented Pod security policies (PSP) in AKS for required best practices and the ability to control what pods to be controlled, scheduled in AKS cluster prevents some possible security vulnerabilities or privilege Escalations .
• Familiar with all objects and components in kubernetes like Istio-system, ingress controller, kube-system and deploying pods in selected nodes without any downtime for Dev and Prod kubernetes clusters.
• Experienced working in Istio installation to enable Node to Node encryption on Azure Kubernetes service for Security requirement that intercepts all network communication between micro services.
• Implemented Twistlock for rule-based access control policy system for Docker and Kubernetes containers to scan monitor events, runtime, vulnerabilities, Compliance for containers, images, Hosts, Registry, Jenkins Jobs.
• Implemented HTTPS Ingress controller and use TLS certificate on AKS to provide reverse proxy, configurable traffic routing for individual Kubernetes services.
• Moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure Event Hubs and then into Splunk for monitoring .
• Daily monitoring production servers using Grafana and Prometheus which is integrated with kubernetes, exceptions and report to the team if something happen during standups.
• Managing Azure DevOps build and release pipeline. Setting up new repos managing the permissions for various GIT branches. Deployed microservices, including provisioning AZURE environment.
• Extended support for existing product teams on how to integrate CI/CD into development life cycle.
• Gather new requirement with product owner and create tasks in the backlog, help with groom prioritize and estimations. Once in every two weeks perform deployment to production environment.
• Creating JIRA confluence articles for recent development performed, POC and tech designs.

Environment: Azure, Terraform, Jenkins, Kubernetes, Docker, Ansible, Jira, Confluence, PowerShell Windows, IIS, Python, splunk, Grafana, Prometheus, Twistlock, istio, Jenkins, git, Ansible.

Sr. DevOps/Cloud Engineer

Confidential, WA

Responsibilities:

• Experience in creating the company's DevOps strategy in a mix environment of Linux (RHEL, Ubuntu, CentOS) servers along with creating and implementing a cloud strategy.
• Experience in using Cloud Infrastructure management and Implementation Working experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites. Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, Scheduling, Auto Scaling, and Power Shell Automation.
• Extensive working experience with different SDLC methodologies such as Agile and Waterfall with an ability to be creative and to take self-initiatives to execute/manage multiple projects in parallel during time critical situations.
• Deployed Azure IaaS Virtual Machines (VM’s) and PaaS role instance s (Cloud Services) into secure VNets and subnets, designed VNets and Subscriptions to confirm to Azure Network Limits.
• Experience in migrating on-premise data center to Aws cloud using VM Import/Export, Aws Data Migration Services.
• Maintained the user accounts (IAM), Cloud SQL, Cloud DNS, VPC, RDB, Cloud Datastore Cloud Bigtable, SQS and Cloud Pub/Sub services in Aws.
• Designed and implementing Aws Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy the infrastructure necessary to create development, test and production environments.
• Configured Jenkins as a build engine to build and deploy applications to DEV, QA, UAT and PROD environments.
• Configured in setting up CI/CD pipeline integrating various tool with CloudBees Jenkins to build and run Terraform script templates to create infrastructure in Azure.
• Worked on Power Shell scripts to automate the Azure Cloud system in creation of Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules and used Python scripts to automate day to day administrative tasks.
• Experienced managing release planning and branching strategy of GIT servers and worked on creating repositories in GIT Stash for multiple applications configured GIT repositories in CI setup in Jenkins and Injected Groovy scripts in Jenkins for dashboard and customized email triggers.
• Automated Various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible Playbooks and integrated Ansible with Jenkins also provisioned and patched servers using Ansible.
• Experienced on Docker and Ansible to build automation pipeline and Continuous Deployment for code using Jenkins and wrote Ansible Playbooks to automate Ansible Servers using YAML scripting.
• Used Kubernetes to manage containerized applications using its node, Config Maps, selector, services and deployed application container as Pods.
• Extensively Worked on Docker service rolling updates to implement zero downtime PROD deployments and worked with Docker Trusted Registry as repository for our Docker images and worked with Docker swarm.
• Deployed windows Kubernetes cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for runtime environment of the CI/CD system to build, test and deploy.
• Experience working with chef Enterprise and Chef Opensource, Chef DK, Chef Workstation chef server and client working with the configuration/Deployment tools like chef (Knife, recipe, cookbook).
• Integrated Splunk Enterprise with Dynatrace to monitor the performance of the application, managing Splunk Forwarder on centralized deployment server.
• Configured commercial SSL certificates for high availability architecture applications Servers such as Web Spheres, WebLogic, Tomcat using NGINX and Apache web servers to terminate SSL endpoint.

Environment: Azure, Aws, Kubernetes, Docker, Swarm, Jenkins, Ansible, Jira, Confluence chef, Git, Git-Hub, Maven, MemSql, PowerShell Windows, Terraform, JIRA, Apache Tomcat, Shell Script, Python, Linux, Dynatrace, Splunk.

Sr. Aws/DevOps Engineer

Confidential, OH

Responsibilities:

• Experience in Amazon EC2 cloud Instances using Amazon Web Services (Linux/Ubuntu/RHEL) and configuring launched instances with respect to specific application by creating the automated Build and Deployment.
• Expertise in Amazon AWS Cloud Services and administration which include EC2, ELB, EBS, IAM, S3, Route 53, Cloud Front, Lambda, Cloud Trail, Amazon CLI, Amazon VPC. Used Cloud watch for monitor resources.
• Managed security groups on AWS focusing on high-availability, fault-tolerance, and auto scaling using Terraform templates. Along with Continuous Integration and Continuous Deployment with AWS Lambda and code pipeline.
• Setup systems from the console and created CloudFormation documents CloudWatch, CloudTrail and adding alerts from CloudWatch, CloudTrail and triggers.
• Good Experience on NoSQL databases like Mongo and Cassandra database and developed load balancing.
• Responsible for server Health checks and performance monitoring for all windows servers and developed a migration to move workloads from On-premises to Aws or develop new cloud applications.
• Experience in automating day-to-day activities by using automation Windows PowerShell.
• Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT and Chef.
• Expertise in Automating the build and deploy tasks using and Team city and using Octopus deploy Implementing Windows DevOps project for CI/CD using TFS, Team city.
• Managed Container management using Mesos Marathon Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.
• Implementing Kubernetes to manage containerized applications using its nodes, Config Maps, Selectors Services and deployed application container as Pods.
• Wrote Ansible Playbooks with Python SSH as the wrapper to Manage configurations of AWS Nodes and Test Playbooks on AWS instances using Python, and proactively manages changes.
• Provided best practices guidance for setup and implementation for an on-premise TFS installation and developed Web Application and Microsoft Dynamics CRM Applications using Coded UI, Visual Studio (VSTS).
• Experience in using setting up monitoring for Splunk Docker Logging Driver to forward the container logs to Splunk.
• Written chef recipes Cookbooks for various configurations to modularize and optimize product configuration Converting production support scripts to Chef recipes and AWS server provisioning using Chef Recipes.
• Created, maintained and automated the scripts by using ANT, JAVA, PYTHON, JSON and RUBY.
• Created and configured Firewall OS upgrades and maintenance of OS updates as part of addressing vulnerabilities Firewall polices and NATs on Check point security gate ways.

Environment: Aws, Shell Scripting, uDeploy, octopus, Ansible, Chef, Docker swarm, kubernetes, Vagrant, MAVEN, UNIX, Linux and AWS, EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53, Cloud watch, cloud formation.

AWS & DevOps Engineer

Confidential, MO

Responsibilities:

• Worked on public cloud infrastructure preferably using AWS Product and Services Ec2, virtual private cloud (VPCs), IAM, Security groups, Elastic Beanstalk, S3, VPC, CloudFormation, RDS, Lambda, Redshift, SQS, SNS, cloud watch and Security Services AWS Shield, AWS Trusted Advisor, cloud front, CloudTrails.
• Experienced in working AWS key Management service (KMS) is a service that help to create and control the encryption keys used to encrypt data.
• Provisioned EC2 instances into AWS by using Terraform scripts from scratch to pull images from Docker and performed AWS S3 buckets creation, policies on IAM role-based policies and customizing the JSON template.
• Experienced in Performed back-ups, scan states and load states of user's profile during the Azure migration process.
• Implemented various resources in Azure using Azure portal, PowerShell on Azure Resources Manager deployment models. Experience deploying infrastructure as code applications using ARM Templates (JSON).
• Deployed the code and provisioning the cloud Environments cloud tool like VSTS and Microservice.
• Performed regular Cron jobs updates and Configured Jenkins to implement nightly builds on daily basis and generated change log that include changes happened from last 24hours.
• Used Ansible inventories to define groups of hosts using Ansible templates to create customized files.
• Orchestration of Docker images and Containers using Kubernetes by creating whole master and node.
• Created, maintained and automated the scripts by using Groovy, BASH, PYTHON and RUBY.
• Experience in updating the latest security patches to database, which provide by PostgreSQL open source.
• Created Log collection in ELK (Elastic Search, Logstash) installed on all nodes in cluster to send log data.
• Created and deployed web interfaces reporting on multi-platform automated builds and test suites (TFS build reporting, SharePoint Server, Cruise Control and IIS) experience using Agile Scrum methodology.
• Experience in knowledge of DB mirroring in SQL server and fail over clustering on high availability SQL server also responsible for SQL server edition upgrades and SQL server patch management.
• Troubleshooting Network, memory, Swap and File system issues, TCP/IP, NFS, DNS and SMTP in Linux Servers.

Environment: Aws, Azure, GIT, Jenkins, TFS, TOM CAT web services, Docker, EC2, S3, RDS, EBS, auto scaling, Opsworks, Kubernetes, Ansible, Nagios, Jira, VMware Bash, Python and Ruby, Unix/Linux, Windows, RHEL 4/5/6, CentOS.

DevOps Engineer

Confidential - WA

Responsibilities:

• Deployed all content cloud platforms on Amazon web services using EC2, S3, Route 53, RDS, EBS, ELB, DynamoDB, Auto Scaling Groups and Optimized volumes. SQS and SNS services in AWS cloud.
• Using Jenkins AWS Code Deploy to deploy. Responsible for code build, release and configuration on Amazon EC2.
• Worked on taking regular backups for Amazon cloud instances and setting up of environments for the application launching and Release process for projects early in SDLC.
• Maintained and administered GIT source code tool and Created Branches, Labels and performed Merges.
• Researched and implemented an Agile workflow team to deliver an end to end continuous integration and testing of applications using Jenkins.
• Used Ansible server and workstation to manage and wrote Ansible Playbook roles for continuous deployment.
• Worked on installation of Docker Swarm using virtual Box and setup the automated build on Docker Hub.
• Maintained JIRA Tool for issue Tracking and Bug Tracking.
• Wrote Python and Shell scripts and Java applications to monitor installed enterprise applications and to get information from the logs and database in the required format and other daily activities and jobs.

Tools: UNIX, LinuxRedHat4/5, CentOS4/5, AWS, EC2, Jenkins, GIT, SVN, Maven, Ant, Docker, swarm, SQL server 200, SQL server 2008R2/2012, Apache HTTP server, IIS, AWS, VMware, ESX, Python, Shell scripts.