Vineet Kumar
Devops Architect at Nagarro
Based in Gurgaon, India
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Seniority
Staff
Department
Information Technology
Location
Gurgaon
Industry
IT Services and IT Consulting
Company size
22K
Contact information
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v•••••••@nagarro.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Vineet Kumar
10.5 strong years of experience as a DevOps Engineer has exceptional Software Integration, Configuration, Build and Deployment ability to work with minimal supervision. Architect systems, infrastructure and platforms using Linux and Amazon Web Services (AWS). Fundamental mastery of the AWS cloud computing platform with different component and services which include VPC, EC2, load balancing with ELB, autoscaling architectures, managing application storage using Amazon S3, experienced in setting up Amazon EC2 instances and security groups etc. Hands-on experience in monitoring, configuring & stabilizing all the Production, Dev & QA environment & performing Application deployment (Releases), Ticket Management, Batch jobs scheduling & client reports scheduling, Database Monitoring & Application server Certificate monitoring & Web-Services Monitoring. Good implementation skills in UNIX Commands & Advance Shell Scripting like SED & AWK scripting for Automation in various flavours of LINUX & UNIX application servers. Expertise of working in with all Production tools like JIRA, GIT/Bit bucket, JENKINS, TeamCity, Maven, Sonar Cube, semmle, BMC Remedy, Service Now, Confluence, ARM/BladeLogic, and WebLogic. Hand on experience on Functionality check, sanity check and basic validation of application, root cause analysis & troubleshooting the Application for client specific issues. Handling & fixing client application & user specific issues within SLA. Ability to handle multiple tasks and assignments concurrently in cross-functional teams and a flexible team player able to communicate with all levels of personnel. Self-Managed, with strong technical, analytical, problem-solving, communication and troubleshooting skills. Experience in the creation of Docker containers and Docker Images using Dockerfile for easier replication of DEV and QA Environments in local machines.
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