Devops Engineer
Location : Pune, India
Experience : 10 Year
Rate: $15 / Hourly
Availability : Immediate
Work From : Any
Category : Information Technology & Services
Responsibilities:
Experience in building and deploying large scale Java and NodeJS application using Docker and Kubernates.
Production experience in Kubernates to deploy application using helm chart and helmfile.
Monitor logs of k8s pods using Splunk and creates dashboard in Graphana to check resource utilization.
Application deployment configuration using Ansible tasks.
Create and manage Ansible playbook, job template and work flow template using AWX tool.
Knowledgeable in common SCM practices, Such as branching and code merge with tools like GitHub, Bit bucket and stash.
Experience with CI CD implementation of Micro service architecture using Jenkins.
Server automation with Terraform, Chef/ Ansible and other configuration management tools.
Experience with AWS services EC2, S3, ELB, VPC, RDS, Route53.
Experience with server monitoring systems like Nagios, Prometheus and other tools.
Proficient in developing Continuous Integration/ Delivery pipelines.
Proficiency in scripting languages such as Bash and Python.
Good understanding of Infrastructure as Code (Programmable
Infrastructure), and how it can achieve that by using tools like Puppet, Chef, Ansible etc.
Databases (MySQL, Postgress) Administrative experience.
Create Docker images with Dockerfile for various applications. Neova Solutions Private Ltd, Pune
System and Cloud Engineer (Linux/AWS Cloud)
From Sept 2015 to June 2016
Create instances using AMI on AWS and install applications on it.
Monitoring AWS instances through icinga tool and cloud watch.
Taking instances application and database scheduled backup to AWS S3 storage through scripts.
Taking snapshots and AMII of instances on AWS through scripts.
Configure IAM User Policies for given access to AWS Services.
Monitor AWS Billing and management through cloud watch.
Installation of LAMP and word press on AWS instances.
Install updates on AWS instances.
Configure load balancing with auto-scaling to distribute the incoming request to multiple instances.
Automation of installation of applications and configuration management with Puppet.
Create and update policies to give access to Amazon S3 storage.
Use Cloud formation to create and manage AWS resources.
Build application code with Jenkins for contiguous integration.
Deploymentof application on AWS Production environment.
Constant monitoring of Disk usage/Load Average/SNMP.
Build virtual servers on VMware.
Migrate Virtual machine Using Vmotion.
Performing file system management and memory manageme
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