SUMMARY

• 7+ years of experience in IT industry comprising of delivery management, design, development, release & deployment, and cloud implementation.
• Good experience on DevOps tools such as Chef, Vagrant, Virtual Box, Puppet, Ansible, Jenkins, Maven, Teamcity ANT, SVN, GIT, and Docker.
• Experience in building infrastructure programs to automate our workflow processes. Writing in Python and utilizing Apache's Airflow, Kubernetes, Helm, Docker, and Local Stack frameworks.
• Implemented puppet modules to automate the installation and configuration for a broad range of services.
• Developed the enterprise Cloud & DevOps strategy, solution architectures, PoC, SOW, responses to RFQs and RFPs for clients which include DevOps continuous delivery, Cloud and Big Data migration on AWS and Google Cloud.
• Hands on Experience with various GCP services including Bigtable, Big Query, Stack Driver, Pub/Sub, DataFlow, App Engine, Storage etc.
• Configure and troubleshoot on Google Cloud Platform for customers with network, application and security issues.
• Well versed with creation of puppet profiles and role modules.
• Leveraged Hiera to create various re - usable puppet modules.
• The front-end styling & layout development using React JS/Redux, HTML5, Javascript, and CSS3 framework.
• Written Chef Cookbooks for various DB configurations to modularize and optimize end product configuration.
• Implemented Chef Recipes for Deployment on build on internal Data Centre Servers. Also re-used and modified same Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Used Chef for server provisioning and automating infrastructure.
• Development and version control of Chef Cookbooks, testing of Cookbooks using Food critic and Test Kitchen and running recipes on nodes managed by on premise Chef Server.
• Well versed with Ansible Playbooks, modules and roles. Integrated Ansible scripts with Airflow automation orchestration tool.
• Experience in Infrastructure Development and Operations involving AWS Cloud platforms, EC2, EBS, S3, VPC, RDS, SES, ELB, Autoscaling, CloudFront, CloudFormation, ElasticCache, CloudWatch, SNS.
• Strong Experience on AWS platform and its dimensions of scalability including VPC, EC2, ELB, S3, and EBS, ROUTE 53.
• Ensure data integrity and data security on AWS technology by implementing AWS best practices.
• Ability to identify and gather requirements to define a solution to be build and operated on AWS.
• Experienced in cloud automation using AWS cloud Formation Templates, PCF, Chef and Puppet.
• Well versed with Openstack based cloud infrastructure.
• Set up Continuous Integration for major releases in Jenkins.
• Extensively worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments.
• Knowledge and experience in creating Jenkins Pipeline.
• Experienced with build automation tools like Ant and Maven.
• Experienced with Docker container service.
• Dockerized applications by creating Docker images from Dockerfile.
• Experienced in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT and Subversion (SVN) on Linux platforms.
• Used GIT to keep track of all changes in source code.
• Integration, deployment and automation of application servers Tomcat, WebLogic across Linux platforms.
• Experience in implementing and administering monitoring tools Splunk and Nagios.
• Experience in using Bug Tracking tools like JIRA and HP Quality center.
• Extensively experienced in Bash, Perl, Python, Ruby scripting on Linux.
• Automated the process of launching and stopping/terminating EC2 instances on Amazon AWS with BOTO.
• Used Python fabric for AWS instance provisioning.
• Experience in administrating, deploying and managing UBUNTU and centos servers.
• Expertise in Agile Testing Methodologies &Software Test Life Cycle (STLC).
• Experience of the full Software Development Life Cycle (SDLC) and Methodologies & Validations to ensure the Quality Assurance Control.
• Extensive experience in UNIX performance tuning and Capacity Planning.
• Experience in deploying system stacks for different environments like Dev., UAT, and Prod in both on premise and cloud infrastructure.
• Strong experience in working in Linux and Windows environments.
• Good analytical, problem solving, communication skills and have the ability to work either independently withlittle or no supervision or as a member of a team.
• Excellent written and verbal communication skills, strong organizational skills, and a hard-working team player.

TECHNICAL SKILLS

Cloud Platforms: AWS, Azure, GCP, PCF

SCM Tool: Subversion (SVN), GIT

Build Tool: ANT, MAVEN

CI tools: Hudson, Jenkins, Teamcity

Configuration management: Chef, Puppet, Ansible

AWS services: EC-2, ELB, VPC, RDS, IAM, Cloudformation, S3, Cloudwatch, Cloud trial, SNS, SQS, SWF, EBS.

Scripting: Ruby, Perl, python, bash shell, PowerShell, React JS, Node JS

Servers: JBOSS, Apache Tomcat, WebLogic, WebSphere, TFS, IIS, Nginix

Languages: PHP, JAVA, JAVASCRIPT, .NET

Monitoring tools: Splunk, Nagios.

Database System: SQL Server 2000/2005, Mongo db. Oracle 9i/10g-PL/SQL

AWS RDS: PostgreSQL, Aurora, MySQL, Dynamo DB, Redshift

Linux flavors: Centos 6.5,7, Ubuntu, Red hat, Solaris.

Windows: Windows NT/2003/2008, Windows XP, Vista, 7, 10

PROFESSIONAL EXPERIENCE

Confidential - Chicago, IL

Cloud/DevOps Engineer

Responsibilities:

• Expertise in AWS Services like EC2, IAM, Subnets, VPC, Cloud Formation, AMI, S3, SNS, SES, RedShift, CloudWatch, SQS, Route53, CloudTrail, Lambda, Kinesis, RDS and obtaining High Availability and Fault Tolerance for AWS EC2 instances utilizing the services like Elastic IP, EBS and ELB.
• Setup Google Stackdriver and customized for Monitoring, Service management, applications and infrastructure for both AWS and GCP resources.
• Specialized in migration to AWS/ BigData environments from legacy ETL and DB systems. Hands on experience in provisioning, operating, and maintaining and troubleshooting systems running on AWS.
• Hands on experience with AWS solutions using CloudFormation Templates, PCF and launch configurations to automate repeatable provisioning of AWS resources for applications.
• Designed, deployed, and operated OpenStack and SDN based IaaS, PaaS, and SaaS service platform network in multiple data centers and Deployed a various version of OpenStack like Icehouse, Kilo, Newton in Datacenter on multi-track with High Availability.
• Designing and implementing CI (Continuous Integration) system: Teamcity, configuring Jenkins servers, Jenkins nodes, creating required scripts (Perl & Python), and creating/configuring VMs (Windows/Linux).
• Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions using Subversion (SVN) and Git source control.
• Managed Git repository, code merging, and production deployments. Integrated Ansible scripts with Airflow automation orchestration tool.
• Analyze and resolve conflicts related to merging of source code for SVN and Git.
• Modified the existing codebase which was built using ASP.NET to a modern framework using ES6 syntax and with the extensive use of Javascript, React JS and Redux.
• The front-end use of HTML5, CSS3, React JS to build a single page web app that communicate with backend via RESTful API to Node JS.
• Maintained build related scripts developed in shell for Maven builds. Created and modified build configuration files including POM.xml.
• Work with development/testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.
• Created Docker images using a Dockerfile, Worked on Docker container snapshots, removing images and managing docker volumes.
• Worked on .net codebase to push code out and build pipelines in Jenkins and TFS to push.
• Expert level experience in Infrastructure as Code Automation Tools like Cloud Formation, Terraform, Packer, using Python SDK provided by Cloud providers etc.
• Set up a Google Cloud Platform (GCP) Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
• Setup/ configure IAM roles in GCP and AWS, performance tuning and encryption.
• Used BOTO and Fabric for launching and deploying instances in AWS.
• Used Cloud watch logs to move application logs to S3 and create alarms based on a few exceptions raised by applications.
• Used Cloud Front to deliver content from AWS edge locations to users, allowing for further reduction of load on front-end servers.
• Manage network security using Load balancer, Auto scaling, Security groups and NACLS.
• Built Cloud infrastructure for Multi-Tier Applications with Failover and High Availability Mode.
• Support current migration of Data Center to Amazon Cloud.
• Focus on continuous integration and deployment, promoting Enterprise Solutions to target environments.
• Implement and maintain the monitoring and alerting of production and corporate servers/storage using CloudWatch and PCF .
• Hands on Experience with various GCP services including Bigtable, Big Query, StackDriver, Pub/Sub, DataFlow, App Engine, Storage etc.
• Installed and configured ELK stack mode and pipelined application logs from App Server to Elastic search through Logstash.
• Document system configurations, Instance, OS, and AMI build practices, backup procedures, troubleshooting guides, and keep infrastructure and architecture drawings current with changes.
• Provide oversight and guidance for the architecture, development best practices for application hosting, and infrastructure deployment for each application.
• Utilize AWS CLI to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups.
• Use puppet and Chef Automation tools for configuration management in different systems.
• Responsible for maintaining 4-5 Different Testing/QA Environments and erection of the PROD Environment in AWS
• Experience with analysis of logs and performing root cause analysis for various issues coming up on daily basis
• Experience in implementing and administering monitoring tools Splunk and New Relic.
• Worked with administrators to ensure Splunk is actively and accurately running and monitoring the current infrastructure implementation.
• Monitoring Live Traffic, logs, Memory utilization, Disk utilization and various other factors which are important for deployment.
• Utilize Puppet for configuration management of hosted Instances within AWS . Configuring and Networking of Virtual Private Cloud (VPC). Utilize S3 bucket and Glacier for storage and backup on AWS.
• Develop CloudFormation scripts to automate EC2 instances.

Environment: & Tools: Java, Linux, Maven, Nexus, Chef,Puppet, Jenkins, Docker, Teamcity, Nginix, Nagios, GIT,AWS EC-2, Route 53, S3, VPC, EMR, PCF, Ansible, Airflow, Splunk, New Relic SQS, Autoscaling, GCP, ELB, Shell Scripts, Unix/ Linux environment.

Confidential - Chicago, IL

Cloud/DevOps Engineer

Responsibilities:

• Developed the enterprise Cloud & DevOps strategy, solution architectures, PoC, SOW, responses to RFQs and RFPs for clients which include DevOps continuous delivery, Cloud and Big Data migration on AWS, Azure and Google Cloud.
• P e rf or med a p pli ca ti on se rve r builds i n EC2 enviro nment a nd moni toring th e m usi ng c loud wa tch.
• Cre a ti ng P riva t e ne twork s and sub - ne twork s a nd bringing inst a nc e s unde r t he m base d on the re quire ment.
• B uil t DNS s y stem in EC 2 a nd mana g e d a ll DN S r e late d tasks. Ma na ge d th e c onfi g ur a ti on of the a ppli ca ti ons usi ng chef.
• Maintaine d a ll de ve lopm e nt t ools and infra struc tu re a nd insur e a va il a bil it y for a 24/7 de ve lopm e nt c y c l e with t ea ms.
• L a un c hin g Ama z on EC2 Cl oud I nstanc e s usi ng A maz on I ma g e s ( L inux /Ubuntu) a nd config ur in g launc h e d ins tance s with re sp ec t t o spe c ific a ppli ca ti ons.
• Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers using Airflow orchestration tool.
• To achieve Continuous Delivery goal on high scalable environment, used Docker coupled with load-balancing tool Nginx.
• Cre a ti ng sn a pshots and A maz on mac hine image s ( AM I s ) of the insta nc e s fo r ba c kup a nd c r ea ti n g c lone insta nce s using PCF.
• Performed Server configuration management via Puppet. Transparent Data Encryption (TDE) implementation
• S e tt ing up pr iv a te ne two r ks an d sub - ne twork s usi n g virtua l priv a te c loud (VP C) a nd c re a ti n g sec ur it y g roups to a ssoci a te w it h the ne twork s.
• S e tt ing up sca labili t y for a ppli ca ti on se rvers using c omm a nd li ne int e rf a c e f or S e tt ing up a nd a dmi nist e ring DN S s y ste m i n AW S u sing Route5 3 Manag in g user s and gr oups usi ng the A maz on identit y a nd a cce ss m a na g e m e nt ( I AM) .
• I nstall a nd c onfi g ur e A maz on c omm a nd li ne inte rf a c e tool s. P e rf o rme d m ig ra ti ons of vir tu a l se rve rs fr om Ubuntu Ope nVZ ph y sic a l ser v e rs to AW S EC2.
• De ve lopi n g a utom a ti on sc ripts using EC2 comma nds. Designing SQL Server Reporting Services (SSRS) High Availability.
• Worked on Cassandra and Oracle Databases there by connecting different environments to these databases in lower and production environments.
• Support AWS cloud infrastructure automation with multiple tools including Gradle, Chef, Nexus, Docker and monitoring tools such as Splunk, New Relic and Cloud Watch.
• Performed various DBA activities on MongoDB cluster like installation of MongoDB config and replica software, patches installation on top of Hadoop eco system.
• Manag e d the c onfi g ura ti ons of the inst a nce s usi n g OpscodeChe f . W ritten a nd modi fie d va rious Cookbooks/Rec ipes f or b e tt e r ma na ge ment of the s y stems .

Environment: & Tools: Java, Linux, Maven, Nexus, Puppet, Jenkins, Docker, Kubernetes Nginix, Nagios, GIT,AWS EC-2, Route 53, S3, VPC, EMR, PCF, Splunk, New Relic, Chef, Opscode, Ansible, Airflow, Autoscaling, ELB, Shell Scripts, Unix/ Linux environment.