AWS & DevOpsÂ Engineer Resume NJ - Hire IT People

PROFESSIONAL SUMMARY:

Over 3+ years of IT experience in build and deployment automation through tools like Jenkins, Puppet and GIT. Worked on Software Configuration Management and DevOps.
Developing Docker images to support Development and Testing Teams and their pipelines, distributed Jenkins, Selenium and JMeter images, and ElasticSearch.
Expert in understanding Operating Systems like Linux, UNIX, Windows.
Extensive experience includes Build/Release support, Load Balancer (NGINX) and Change/Incident Management support.
Wrapper developed in Python to run an application.
Strong experience using Web Services and API’s in Python.
Experienced in working with various Python Integrated Development Environments like IDLE, PyCharm, Atom, Eclipse, and PyDev.
Experience on working with VMware Workstation and Virtual Box.
Experience with Version Control Systems like GIT and SVN (Subversion).
Skilled at Software Development Life Cycles Agile technologies and waterfall
Extensively worked on Configuration management tools like Puppet and Chef implementing entire CI/CD using Groovy scripting.
Worked in agile projects delivering end to end continuous integration/continuous delivery pipeline by integration of tools like Jenkins, Chef and AWS for VM provisioning.
Knowledge of mobile Android and IOS applications.
Capable of supporting and managing multiple projects simultaneously, comfortable troubleshooting and debugging and able to work under pressure.

SKILL:

Scripting: Python, Java, Shell, Ruby, HTML, C++

Operating System: Linux/Unix (Red hat (5,6,7), Ubuntu (14.10.4), Centos (5,6,7), Windows XP,7, Mac

Container Tools: Docker, Kubernetes

Monitering Tools: Nagios, ServiceNow

Build Tools: Maven, Gradle, Ant

CI Tools: Jenkins, AHP, Bamboo

Configuration Management: Puppet, N1, Chef, Ansible

Web Servers: WebLogic, Tomcat, Apache

SCM Tools: SVN, GIT, CVS

Repository Tools: Nexus, Archiva

Atlassian tools: Jira, Confluence, Fisheye, crucible

Databases: SQL Server, My SQL, RDS

EXPERIENCE:

AWS & DevOps Engineer

Confidential, NJ

Responsibilities:

Actively involved in AGILE/SCRUM Methodologies while executing the project.
Extensively worked on version controls like Git and SVN.
Used Groovy scripts for CI/CD pipeline builds, and actively involved in the entire Pipeline setups and Jenkins configurations.
On boarded and supported several mobile iOS and Android applications onto Jenkins CI/CD pipeline.
Configured their Kubernetes cluster and supported it running on the top of the CoreOS.
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
Expertise in Atlassian Confluence created and developed multiple pages, captured various information in an organized manner.
Hands on experience in installing and administrating tools like Jenkins, Ansible.
Supported Production and Pre - production environments in resolving issues on demand.
Provided support for Chef upgrades and agent installations for several number of servers.
Worked and supported on several Java applications migrations to Jenkins Pipeline.
Involved in providing Demo to customers on product (CI/CD pipeline) and its features.
Supported monthly product feature releases and also involved in testing the feature and reported bugs before delivering to the costumers.
Managed AWS EC2 instances along with EBS and S3 services.
Maintain services hosted in AWS managing EC2 instances, Auto Scaling groups, EBS, ELB, S3, Route 53, IAM account management and AWS code deploy.

Devops Engineer

Confidential

Responsibilities:

Wrote Puppet manifests and modules to deploy, configure, and manage servers
Automated build and deployment using Jenkins to reduce human error and speed up production processes
Reduced deployment time for critical agile project infrastructure from ~1 month to 2 days.
Installed and configured Nagios to constantly monitor network bandwidth, memory usage, and hard drive status
Managed GitHub repositories and permissions, including branching, merging, pulling, pushing and tagging.
Create and maintain fully automated CI/CD pipelines for code deployment using Octopus Deploy and PowerShell
Actively manage, improve, and monitor cloud infrastructure on AWS, EC2, S3, and RDS, including backups, patches, and scaling.

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Aws & DevopsÂ engineer Resume

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