SUMMARY:

• 7 years of substantial IT experience with expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure, Automation, Amazon Web Services (AWS).
• Extensive experience in the design and implementation of Continuous Integration, Continuous Delivery, Continuous Deployment and DevOps processes for Agile projects.
• Experience in Server infrastructure development on AWS Cloud, extensive usage of Virtual Private Cloud (VPC), IAM, EC2, RDS, S3 and Lambda focusing on high - availability, fault tolerance, and auto-scaling with Cloud watch monitoring.
• Expertise creating complex and custom IAM policies, Roles, and user management for delegated administration within AWS.
• Experience in developing AWS Cloud Formation templates to create custom sized VPC, subnets, EC2 instances, ELB, Security Groups.
• Managing and analyzing the petabyte-scalable data using AWS Redshift cluster.
• Experience in working with EC2 Container Service and integrating with JENKINS.
• Hands on experience in monitoring using Splunk and Appdynamics.
• Expertise in Application Deployments & Environment configuration using Puppet andAnsible.
• Experience in writing Ansible playbooks and Modules to automate our Build/deployment process and do an overall process improvement to any manual processes.
• Experience using MAVENas build tool for the building of deployable artifacts (jar, war) from source code.
• Experienced in Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like GIT
• Knowledge on Scripting Languages like Ruby, Perl, Bash, Python, Shell & Java.
• Experience on several Docker components like Docker Engine, Hub, Machine, Compose and Registry.
• Installation and configuration of ELK stack in both legacy and Docker swarm mode
• Experience on setting up Docker containers and orchestrated using Kubernetes.
• Experienced in EC2 container service to support the Docker containers to run the applications in AWS environment.
• Provided production support in an on-call rotation in a 24x7 environment.
• Excellent communicative, interpersonal, intuitive, analysis and leadership skills with ability to work efficiently in both independent and team work environments
• Excellent client relation skills and the drive to complete tasks effectively, and efficiently where customer service and technical skills are demanded.

TECHNICAL SKILLS:

AWS Services: EC2, ELB, VPC, RDS, AMI, IAM, Cloud Formation, S3, Cloud Trial, SNS, SQS, EBS, Route 53

Operating System: Red Hat, Ubuntu, Linux & Windows, CentOS

CI Tool & Monitoring: Jenkins, Teamcity, Appdynamics,Netcool

Cloud Environments: AWS, Azure

Bug Tracking Tools: JIRA, Bugzilla, HP Quality Center, Remedy, IBM Clear Quest

Configuration Management Tools& Containers: Puppet, Ansible, Docker, Kubernetes

Databases: Oracle, MS SQL

Build Tools: Maven

Version Control Tools: Subversion(SVN), GIT, GitHub, SVN, BitBucket

Web Servers: IIS,Apache, Tomcat, Web Sphere

Languages/Scripts: HTML, Shell, Bash, Python

SDLC: Agile, Scrum, Waterfall

PROFESSIONAL EXPERIENCE:

Confidential, Weehawken, NJ

DevOps Engineer

Roles & Responsibilities:

• Used Amazon IAM to grant fine-grained access to AWS resources to users. Also, managed roles and permissions of users to AWS account through IAM.
• Working on AWS EC2 Instances creation, setting up VPC, launching EC2 instances and different kind of private and public subnets based on the requirements for each of the applications.
• Expertise in Querying RDBMS such as Oracle, SQL Server in AWS cloud platform.
• Installed and configured Splunk monitoring tool, while using it for monitoring network services and host resources.
• Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, Github with Dev/Test/Prod Branching Model for weekly releases.
• Maintenance and Vulnerability Management of Hybrid infrastructure and CI/CD using Ansible Playbooks.
• Worked with chef compliance for compliance testing and chef analytics for reporting the statistics.
• Automated different workflows, which are initiated manually with Python scripts and Unix shell scripting.
• With integration of Splunk for AWS gain in-depth visibility and rapid insights into AWS administration and account activity like unauthorized access attempts, simultaneous logins from disparate locations and changes to access control privileges.
• Utilize Cloud Formation and Puppet by creating DevOps processes for consistent and reliable deployment methodology
• Implemented Puppet Master, Puppet Agents, Create Puppet modules and Classes.
• Utilized Code Pipeline for Continuous delivery of the code and faster application deployment. Source code from GitHub is utilized for Continuous integration using Jenkins.
• Branching, Merging, Tagging and maintaining the version across the environments using SCM tools like Subversion (SVN), GIT (GitHub, GitLab), Clear case, Harvest and VSS.
• Integrated Ansible with Jenkins to provide Automation, Continuous Integration and Managed nodes over SSH/Power shell using Ansible.
• Experience in working with EC2 Container Service plug-in in JENKINS which automates the Jenkins master-slave configuration by creating temporary slaves.
• Used MAVEN as a build tool on java projects for the development of build artifacts on the source code.
• Used EC2 Container Service (ECS) to support Docker containers to easily run applications on a managed cluster of Amazon EC2 instances.
• Developed procedures to unify streamline and automate applications development and deployment procedures with Linux container technology using Docker swarm.
• Used Jenkins and pipelines to drive all MicroServices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

Environment: AWS, Jenkins, UBSDeploy, Splunk, Appdynamics, Nexus, Netcool, Active MQ, Docker, Kubernetes.

Confidential, Jersey city, NJ

AWS/DevOps Engineer

Roles & Responsibilities:

• Setup and build AWS infrastructure various resources, VPC, EC2, S3, IAM, EBS, Security Group, Auto Scaling, RDS in Cloud Formation JSON templates.
• Configured AWS Identity and Access Management (IAM) to securely manage AWS users & groups and use policies & roles to allow or deny access to AWS resources.
• Configured and managed Elastic Load Balancing (ELB), to avoid single point of failure applications, thus providing high availability and network load balancing.
• Creating S3 buckets and managing policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS.
• Experience in configuring Amazon EC2 instances and launching the new instances with same configuration by using AMI's (Amazon Machine Images).
• Created AWS Route53 to route traffic between different regions.
• Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.
• Designed and created Cloud Formation templates to create stacks.
• Creating and giving permissions of repositories in Bit Bucket
• Branching, Tagging, Release Activities on Version Control Tools: Bit Bucket
• Monitoring of servers using Nagios tool, which is used to ensure systems application and services are functioning properly.
• Resolving conflicts during merging branches in Bit Bucket
• Used Chef Configuration management system to develop automation and monitoring web application and database servers.
• Managed builds and made necessary changes to Maven build scripts for Java/ WebSphere based applications.
• Debugging Chef Recipes and their execution trying to pull logs into Splunk and monitor deployments.
• Deployed Puppet, Puppet Dashboard for configuration management to existing infrastructure.
• Developed Python and shell scripts for automation of the build and release process.
• Using Puppet, deployed and configured Elastic search, Log stash and Kibana(ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch.
• Worked on Amazon Web Services (AWS) infrastructure with automation and configuration management tool Puppet.
• Managed Docker orchestration using Docker Swarm and also responsible for the containerization of applications using Docker.
• Created a micro service environment on the cloud by deploying services as Docker containers. We used Amazon ECS as a container management service to run micro services on a managed cluster of EC2 instances. Implemented Amazon API Gateway to manage, as an entry point for all the API's.

Environment: AWS, EC2, VPC, IAM, S3, ELB, EBS, Security groups, Route tables, Kubernetes, CloudWatch, CloudFormation, AWS Auto Scaling, EMR, Elastic Beanstalk, GIT, GITHUB, Puppet Ansible, Python, Nagios, Ant, Maven, Shell scripting.

Confidential, Greenville, SC

DevOps Engineer

Roles & Responsibilities:

• Developed and supported the software Release Management and procedures.
• Created and maintained several build definitions and publish profiles to handle automated builds in an Agile/SCRUM environment.
• Used the version control system GIT to access the repositories from the GITHUB and used in coordinating with CI tools.
• Integrated Maven with GIT to manage and deploy project related tags.
• Build and release software baselines, code merges, branch and label creation in Subversion/GIT and interfaced between development and infrastructure.
• Manage deployment automation using Puppet, Custom Puppet Modules and Ruby.
• Automated the build and release management process, including monitoring changes between releases.
• Used Ant and Maven as a build tool on Java projects for the development of building Artifacts on the source code.
• Maintained build related scripts developed in ANT, Python and shell.
• Worked with Git, GitHub and Ant, Maven, Gradle builds integrated and configured in Jenkins.
• Used Jenkins for automating Builds and Automating Deployments.
• Configured and automated the Jenkins Build jobs for Continuous Integration.
• Used Shell/Python scripts to automate the deployment process.
• Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
• Maintain and track inventory using Jenkins and set alerts when the servers are full and need attention.
• Involved in configuration and support of a production environment hosted in a 24x7 setup.
• Installed/Configured/Managed Puppet Master/Agent. Wrote custom Modules and Manifests, downloaded pre-written modules from puppet-forge. Up gradation or Migration of Puppet community and Puppet Enterprise.
• Created CI/CD pipelines and setup auto trigger, auto build and auto deployment with the help of the CI/CD tool like Jenkins.
• Automated CI/CD with Jenkins, build-pipeline-plugin, Maven, GIT Set up Jenkins master/slave to distribute builds on salve nodes.
• Used Docker for local application deployment and test and did orchestrating between container using docker swarm and writing docker files.
• Docker images include setting the entry point and volumes, also ran Docker containers.
• Develop and enhance the automated configuration management system, by Creating Chef Automation tools and builds, and make an overall process improvement to any manual processes.
• Experience in different tools for monitoring the health checkups using Nagios.

Environment: AWS,, Puppet, Jenkins, VDI, VPC, Route53, EBS, SQL, ELB, Cloud watch, Cloud Formation, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Python, Ruby, Shell scripting, Git.

Confidential, Seattle, WA

.Net Developer

Roles & Responsibilities:

• Developed web based application using Asp.net,C#
• Developed Web forms for registration, to update the policy installment pages and application logic in ASP.Net, C# utilizing the power of Confidential .NET Framework.
• Used ADO.Net in connecting to Data Access management with SQL Server.
• Design and development of user interface using ASP.NET, C#, HTML, JavaScript
• Used User Controls for a group of common controls.
• Implemented Win Forms to provide GUI components using .NET Framework.
• Creation of stored procedures, views, functions, triggers and DTS in MS SQL server2008
• Developed web forms with C# to store the customer policy data in Database.
• Generated the required reports with the help of data grid, data list.

Environment: .NET Framework, C#.NET, ASP.NET, ADO.NET, SQL Server, IIS 6.5, Windows 2008, HTML, XML, Visual Studio, Classic ASP, JavaScript.