Salary : 7.0 - 11.0 LPA
Location : Mumbai MAHARASHTRA
Experience : 4 - 6
Gender : Any
Qualification : B.tech,BCA,M.tech,MCA
Vacancy : 2
About Company :
It is an AI Product Company, building automation products for health & life insurance section. It is a healthcare machine learning product company, with a particular focus on the insurance clients. Our system can work on variety of documents and unstructured data-sets to create an extremely high quality data essential in predictive modeling, process automation and decision making.
Be able to adapt quickly to new technologies.
Configure and setup Firewalls, VPN Concentrators and Security appliances for access to vital business applications.
Monitor and maintain the production systems and networks of an organization.
Troubleshooting of production issues within SLAs.
Manual & Automated deployments to staging & production environments.
Monitoring & managing production servers and regular housekeeping tasks.
Troubleshooting of issues related to Websites, Windows servers, DevOps Tools and Analyzing Logs
Continuously focus on improvement of DevOps practices by working with Development, QA and Database teams. Must have
Analytical frame of mind, a desire to take ownership, and never taking any failure as a setback
Solid understanding of Networking/VPCs/monitoring & alerting frameworks and tools
Understanding of Amazon Web Services (AWS) environment & Experience managing/operating large Linux (Ubuntu), Microsoft Windows, environment & Database Technologies (MySQL, DynamoDB, PostgreSQL, MongoDB, ElasticSearch, etc.)
Have experience on Nginx, MongoDB, RabbitMQ and Redis.
Have experience on Ansible, fabfile and Docker.
Substantial experience in operating a 24/7 high-availability Cloud infrastructure in a highly transactional environment
Understanding of Scrum/Agile & DevOps Process with at-least a couple of years of work experience, with being at ease with at-least one of the programming languages (Python, Shell script)
Working experience with tools/systems like Jira, GitHub, Confluence, CI/CD Pipeline using Jenkins, CloudWatch, Cloud Formation templates, Artifactory, Office Suite, Linux, Graylog, Grafana, etc.
If Python and Django developer has interest in DevOps, they are most welcome.
Python and Django developer with DevOps knowledge(Bonus point)
Qualification : b.tech Bachelor of Computer Application M.tech Master of Computer Application
Working Days : 5 Days a Week (10:00 AM to 7:00 PM)