SUMMARY

• 7+ years of IT Experience and ability to accomplish all aspects of the software configuration management (SCM) process, systems deployment engineering (SDE), Azure, AWS, and DevOps in CI/CD pipeline, Build/Release management.
• Expertise inDevOps tools such as GIT, Jenkins, Maven, Ansible, Chef, Puppet, Docker, Kubernetes, AWS, Azure, and Terraform, Splunk, Nagios.
• Experienced in Continuous Integration (CI) and Continuous Delivery (CD) process implementation using Jenkins, TeamCity, and Bamboo.
• Good knowledge on Configuration Management Tools such as Chef, Ansible, Puppet and Automated Linux production server’s setup using the chef cookbooks, Ansible playbooks.
• Experience with Docker containerized environment, hosting web servers on containers, building docker images using Docker expertise in administering and automating operations across multiple platforms (UNIX, Linux, Windows, and MAC.
• Expertise working with Kubernetes to automate deployment, scaling and management of web Containerized applications experience in working on Docker and Vagrant for different infrastructure setup and testing of code.
• Worked on Kubernetes to orchestrate Docker containers of new and existing applications as well as deployment and management of complex run time environment.
• Proficient in the AWS Cloud platform and its features, which include EC2, VPC, EBS, Cloud Watch, Cloud Trail, Cloud Formation, CloudFront, IAM, S3, Route 53, SNS, SQS.
• Worked on scripts & implemented auto deployment process and reduced the amount of time experience on Bash/Shell, Ruby, Perl, PowerShell, JSON, YAML and Groovy.
• Managed Amazon Web Services like EC2, S3 bucket, RDS, EBS, ELB, Auto - Scaling, AMI, IAM through AWS Console and API Integration with Puppet Code
• In-depth knowledge of computer applications and scripting like Shell, Python, Perl, Ruby and XML.
• Experience in branching, tagging, and maintaining the version across the environments using SCM tools like Subversion (SVN), Git, Bitbucket, and GitHub on UNIX and Windows environment.
• Expertise in database modeling and development using No SQL Database such as MongoDB and Cassandra implemented automation tasks by writing Scripts in Shell, python, and Ruby
• Experienced in supporting database systems including Oracle, MySQL, Linux/Unix and Windows environment.
• Handful of experience with web servers and clients in different programming language such as C++, JAVA.
• Experience in Issue Tracking tools JIRA, Remedy, Service Now and HP Quality Center
• Experience customizing JIRA projects with various schemas, screen schemes, permission schemes, complex workflows, and notification schemes.
• Familiar with Atlassian tool stack such as JIRA, Bitbucket, confluence, Hipchat and Bamboo.
• Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile/scrum, and Waterfall methodologies.
• Supported Deployments into PROD & Pre-Prod environments with multiple Application server technologies like WebLogic, Jboss and Apache Tomcat.
• Managed environments DEV, SIT, QA, UAT and PROD for various releases and designed instance strategies.
• Experience in writing shell scripts to automate the administrative tasks and management using cron and at.
• Team player with excellent interpersonal skills, self-motivated, dedicated and understanding the demands of system maintenance and has good customer support experience and always ready to discuss on latest changes in technology and their automation concepts.

TECHNICAL SKILLS

Operating systems: Windows, Linux, Unix, Ubuntu, Red hat, CentOS, AWS CLI

Build Tools: Ant, Maven, Gradle

Source Code Management: SVN, GIT, Bitbucket

CI/ CD Tools: Hudson, Jenkins, Bamboo

Configuration Tools: Ansible, Chef, Puppet, Docker, Kubernetes, Terraform

Networking: VPC, Route 53, LDAP, DNS, FTP, DHCP, SSH, TCP/IP, FTP, SFTP

Databases: MySQL, MongoDB, PCF, Cassandra, PostgreSQL, SQL Server

Monitoring Tools: Splunk, Data dog, Nagios

Languages: Python, Shell scripting, Bash, Groovy, Nodejs, JavaScript, Yaml, Json

Cloud Services: Amazon Web services, Microsoft Azure.

Web/App Servers: Nginx, JBoss, Apache HTTP, Tomcat, WebLogic, Web Sphere.

SDLC: Waterfall model, Agile, Scrum

Bug Tracking Tools: JIRA, Remedy, Bugzilla, ServiceNow

PROFESSIONAL EXPERIENCE

Confidential, Conway, AR

AWS/DevOps Engineer

Responsibilities:

• Involved in setting CI/CD Pipelines using Jenkins, Maven, GitHub, Docker, and Nexus Configured the servers with the CloudWatch, Splunk for monitoring the performance metrics of the production servers.
• Worked extensively on AWS broad range of services such as provisioning EC2, VPC, ELB, Security Groups, IAM, EBS, S3, SNS, SQS, Route53, ELB, CloudWatch, Cloud Front, Cloud trial, RDS.
• Used Jenkins for automating Builds and Automating deployments. Implemented a Continuous Delivery framework using Jenkins and Maven in Linux environment.
• Integration of Configuration Management Systems like Ansible with AWS for code deployment. Created and maintained built wrapper scripts using Python and UNIX Shell script.
• Worked on container-based deployments using the Docker images and Docker registries, pulled the required images from Docker Hub, Nexus. Used Docker to avoid the environment difficulties between Developers and Production.
• Created and developed deployments, namespaces, Pods, Services, Health checks, and persistent volumes etc., for Kubernetes in YAML Language.
• Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins Pipelines along with Python and Shell scripts to automate routine jobs.
• Integration of Automated Build with Deployment Pipeline. Currently installedChef Serverand clients to pick up the Build fromJenkinsrepository and deploy in target environments
• Used Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages changes in the AWS environment.
• Developed UNIX/Python/Groovy scripts for application building and deployment worked on Scaling and auto scaling of the pods on Kubernetes (EKS), troubleshooting any issues on pods.
• Performed S3 buckets creation, policies and on the IAM Role based polices and customizing the JSON template created the AWS VPC network for the Installed Instances and configured the Security Groups and Elastic IPs accordingly.
• Configured the Route 53 and load Balancers for the VPC and the NACL with inbound and outbound Rules Used Unix Commands and utilities to monitor server-side activities and performance.
• Worked on creating Terraform templates for AWSInfrastructure as a code to build staging, production environments & set up build & automations for Jenkins.
• Configured Application Life Cycle Management (ALM) tools like JIRA to track the progress of the project.
• Experience using New Relic, Grafana and Splunk for App monitoring.
• Worked on Monitoring 2.0 environment to have a uniform, centralized platform for visualizing, analyzing, and alerting on data streaming from Ultimate Software’s services and applications.

Environment: AWS, Jenkins Ant, Java/Jdk1.8, Maven, Git, Docker, Kubernetes, Chef 12.x/11.x, Nexus, Jenkins-job-builder, Docker, Jenkins-view-builder, Tomcat, Cassandra, Azure, Puppet, Jetty, JBoss, RHEL 7/6, Shell script, Power Shell, VB Script, Git, Git Hub, python, Apache Tomcat 9.0, JIRA.

Confidential, New York, NY

AWS/DevOps Engineer

Responsibilities:

• Worked on continuous integration technologies with Jenkins. Designed and created multiple deployment strategies using Continuous Integration (CI) and Continuous Delivery (CD).
• Extensive experience includes SCM, AWS, DevOps, Build/Release Management and Cloud Management and Containerization.
• Creating automated build and release environment using CI/CD Tools like Jenkins & Ansible.
• Created Ansible playbooks to automate the deployment process.
• Worked with Ansible and Ansible Tower as Configuration management tool, to automate repetitive tasks, quickly deploys critical applications, and proactively manages change and well versed with Ansible Playbooks, modules, and roles.
• Wrote Ansible Playbooks with Python and SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python.
• Developed scripts for deployment of customer environments into AWS using Bash, Python and created scripts in Python which integrated with Amazon API to control instance operations.
• Utilized AWS Cloud Watch to monitor the performance environment instances for operational and performance metrics during load testing
• Creating S3 buckets and managing policies for S3 buckets and Utilized S3 buckets and Glacier for storage and backup on AWS building/Maintaining Docker container clusters managed byKubernetes, Linux, Bash, GIT, Docker, on AWS.
• Involved in Writing Docker file to build customized images for creating containers
• Administered and Engineered Jenkins Pipeline for managing weekly Build, Test and Deploy chain, SVN/GIT with Dev/Test/Prod Branching Model for weekly releases.
• Used Kubernetes to deploy Docker containerazion.
• Integrated GitHub web hooks into Jenkins to automate the code check-out process.
• Automated the existing build process using Maven.
• Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud
• Dynamically add and remove servers from AWS production environment

Environment: UNIX, WINDOWS, GITHUB, Bitbucket, AWS, PCF, EC2, S3, IAM, Java/Jdk1.7, Jenkins, Bamboo, Maven, Perl, Groovy Scripting, YAML, Shell Scripting, Chef, Puppet, Azure, Python Scripting, Subversion, Apache Tomcat, JBoss, WebSphere Application Server, Ansible Tower, Docker, Kubernetes.

Confidential

DevOps Engineer

Responsibilities:

• Understand the existing systems and recommend for CI/CD automation work closely with management and team to understand the existing systems and recommend for CI/CD automation.
• Design and implement the CICD architecture and automation solutions using GITHUB, Bitbucket, Jenkins, Bamboo, and Ansible Tower. Deploying to production environment in AWS using terraform.
• Experience with using best practices to manage infrastructure with Industry standard security on AWS resources.
• Build servers using AWS: Importing volumes, launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES, SNS, Cloud formation, S3, EMR, RedShift, Route53, Lambda, ELB in the defined virtual private connection.
• Experience in creating and maintaining IAM roles, policies, Auto scaling groups and Load balancer for EC2 instances.
• Working for DevOps platform team responsible for specialization areas related to chef for cloud automation
• Developed automation framework for Application Deployments to the cloud environments using Terraform and maintained Docker as EC2 container service (ECS).
• Implemented Jenkins Master/Slave concept in Jenkins dashboard. Deployed various databases and applications using Kubernetes cluster management some of the services are reddis, nodejs app, nginx etc.
• Development of automation of Kubernetesclusters with Ansible Playbooks building new container images from scratch like Kubernetes and Docker
• Created and owned Build and Continuous Integration environment with Ant, Maven, Visual Studio and Jenkins Pipeline.
• Setting up the Jenkins Pipeline, Bamboo to build Pipelines automatically using Groovy Script\ and on boarded and supported several mobile applications onto Jenkins CI/CD pipeline.
• Create the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system.
• Implemented rapid-provisioning and life-cycle management using AWS, Chef, Jenkins and Ruby/Bash scripts.
• Worked on Creating and maintaining Amazon EC2 instances and Auto scaling groups.
• Experience with bucket policies, S3 storage like Glacier and maintaining SNS, CloudWatch monitoring services.
• Implemented Continuous Integration and Deployment (CI/CD) solutions to target environments manage and mitigate risks for releases and create technical documentation Expertise on all the DevOps tools.

Environment: AWS, AWS IAM, AWS EC2, AWS S3, AWS cloud watch, Route 53, Java/Jdk1.5, Terraform, ANT, Maven, SVN, GIT, GitHub, Chef, Docker, Nagios, Jenkins, Apache Tomcat, JSON, Bash, Shell, Perl, Python, PHP, Ruby, Docker, Kubernetes.

Confidential

Software Developer

Responsibilities:

• Experience in developing applications using Java, JSP, Servlets, JavaBeans, JSTL, JSP developed the data access classes using JDBC and SQL queries wrote front-end code for developing new pages using HTML, CSS, and JavaScript.
• Responsible for the analysis, documenting the requirements and architecting the application based on J2EE standards applied various complex SQL queries.
• Developed SOAP, Rest, Rest API based Web service using Apache CXF.
• Developed Logger classes using Log4j for efficient logging mechanism.
• Developed Application using spring, Spring MVC and Hibernate and Spring Framework at Business Tier and Spring Bean Factory for initializing services.
• Interaction with the database is accomplished through JDBC wrote PL/SQL queries, stored procedures, and triggers to perform back-end database operations.
• Extensively used Linux, Unixsystem administration tools to create servers and deploy and run applications in development stage proficient with Web Services framework and writing XML based Web Services.

Environment: Java, J2EE, HTML, CSS, Spring, SOAP, Rest, Rest API, Servlets, JDK, PL/SQL server, Unix, Linux, Eclipse, Triggers, JDBC, JSP, ANT, LOG4J, JUnit.