OnBenchMark Logo

Mohammed Afzal (RID : 1ate6l84mq56w)

designation   Devops engineer

location   Location : Chennai

experience   Experience : 7 Year

rate   Rate: $18 / Hourly

Availability   Availability : Immediate

Work From   Work From : Any

designation   Category : Information Technology & Services

Shortlisted : 6
Total Views : 178
Key Skills
AWS GIT Jenkins Ansible Maven Docker Terraform Sonarqube Nexus Splunk Prometheus/grafana Python/Bash/PHP

Mohammed Afzal Khan

Devops Engineer



Mohammed Afzal Khan

Date of Birth: 02nd May 1995

Civil Status: Male, Single

Nationality: Indian


Strong Communicator

Excellent Problem Solving ability

Strong multitasking ability

Analytical & data Interpretation

Versatile & Service Oriented

Time and Task Management















BSC (Computer Science)


Loyola College, Chennai



English, Tamil, Hindi, Urdu



Self-motivated Devops engineer with almost 3 years of experience in AWS cloud environment and devops. Looking for a challenging position in the organization where my knowledge would make an important contribution to the company’s growth which in turn improve my skills.


Devops Engineer

Photon [OCT 2019 till date]


  • Working Experience with Cloud Infrastructure of AWS [Amazon Web Services] and computing AMI Virtual machines on Elastic compute cloud (EC2)
  • Experience in creating and maintaining AWS User accounts, Security groups, VPC, Route 53, Dynamo DB, RDB, SNS, SES and AWS Storage services like S3.
  • Involved in setting up Jenkins master and multiple slaves for the entire team as a CI tool part of Continuous development and deployment process.
  • Familiarized on installation of Dockers using docker toolbox and also created custom docker container images, tagging and pushing the images.
  • Dockerized applications by creating docker images from docker file, rewriting existing dockerfiles and also the multi-stage docker builds.
  • Proficient in all aspects of software lifecycle like Build/Release/Deploy and specialized in cloud automation through open-source devops tools like Jenkins.
  • Deployed JAR, WAR, EAR and J2EE applications on Apache tomcat server using Jenkins’s auto deployment.
  • To install, configure and manage Ansible centralized server and creating the playbooks to support various middleware application servers and involved in configuring the ansible tower as a configuration management tool to automate repetitive tasks and also have good deal of understanding with ansible roles and vaults.
  • Configured auto-triggered, auto build and auto deploy with the CI/CD tools like Jenkins
  • Built S3 buckets and managed policies for the same and used S3 bucket and glacier for storage and backup on AWS.
  • Initiating alarms in cloud watch service for monitoring the server’s performance, CPU utilization and disk usage etc., and to take appropriate actions for better performance.
  • Configured AWS multi factor authentication in IAM to implement 2 step authentication of user’s access with Google authenticator & AWS virtual MFA.
  • To co-ordinate and assist developers in order to establish and apply relevant branching, labelling and naming conventions using GIT source control.
  • Fair amount of knowledge on IAAC services like terraform and have also created templates with the use of modules.
  • Virtualize servers using docker for test and dev-environments needs and also to automate using docker containers.
  • Interfaced with system infrastructure, deployment and project teams to ensure continuous operation of build and test systems plus assisting on incident managements for UNIX servers.
  • Experience with AWS and also with the configuration of its products such as EC2, Elastic load balancing [Target groups / listeners] and its algorithms, Auto Scaling, S3, VPC, SES, SNS, IAM, Amazon Cloud watch and RDS.
  • Basics of Splunk, Prometheus and nexus
  • Setup monitoring stack using grafana for application metrics.
  • Integrated databases with sonarqube to verify the code quality and also

Collaborated with Jenkins during the process of CI/CD.

  • Fundamental understanding of AWS services like Cloud front/Cloud Formation, Elastic bean stalk, Lambda and Redshift
  • Basics and architecture of Kubernetes [Blue / Green Methodology] , API Gateways, ELK, Data Dog monitoring.

Machine Learning Data Associate – I & II

Matching Resources
My Project History & Feedbacks
Copyright© Cosette Network Private Limited All Rights Reserved
Submit Query
WhatsApp Icon

stuff goes in here!