Mactores

DevOps Engineer (Intern)

Mactores • IN
Remote
Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

You will be part of the DevOps engineers' team, managing large customer deployments including Linux and Windows Administration, Large Enterprise Applications, and Big Data Workloads.
 
If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do

  • Work on the operations tickets and project task queue with the DevOps Team
  • Communicate with the rest of the Engineering for roll out broad changes for customers
  • Automate operational and server provisioning workflows using AWS CFT
  • Share the responsibility for deploying releases and conducting other operations maintenance
  • Enhance operations infrastructure such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana
  • Provide operational support for the rest of the Engineering team
  • Help migrate our remaining dedicated hardware infrastructure to the cloud
  • What you need for this opportunity

  • Conceptual understanding of version control systems (git), including branching and merging strategies
  • Conceptual understanding of cloud platforms AWS/Azure/GCP.
  • Conceptual understanding of Snowflake.
  • Conceptual understanding or exposure to software build tools (Maven, Gradle) and continuous integration tools (Jenkins)Must have supported Java-based applications in the production environment
  • Conceptual understanding of Linux environments and scripting languages - bash, python, Groovy