DevOps Engineer (Junior - mid level)

Published date Posted on StackOverFlow on Sep 16, 2021 (39 d ago)

Description


We are looking for a passionate DevOps engineer with a strong "get things done" attitude and attention to detail to join our engineering team. Junior and mid-level Engineers are encouraged to apply.


Requirements


If you…



  • Are an advanced Linux user

  • Have a good command of the English language, in spoken and written forms

  • Have familiarity with Docker container and Docker compose

  • Have familiarity with orchestration tools (especially Rancher and Kubernetes)

  • Want to automate everything using tools like Ansible or Puppet

  • Have familiarity with Continuous Integration tools (GitLab CI)

  • Have familiarity with monitoring tools (like Zabbix, Grafana and Kibana)

  • Are eager to constantly learn state of the art technologies and experiment with them

  • Have knowledge of network concepts and protocols is a plus

  • Know what iptables is and how to properly secure a server is a plus

  • Have familiarity with DB setup and administration (Postgres, MongoDB and ElasticSearch) is a plus

  • Have experience in cloud based applications that scale to thousands of requests and Terabytes of data is a plus

  • Have background in operating and scaling distributed applications using the above tools (preferred) or similar ones is a plus

  • Have hands-on experience in remote setup and operation of Linux servers is a plus

  • Live in Athens, Greece or Kyiv, Ukraine is a plus


Responsibilities



  • Monitor and provide 1st level support on running services

  • Implement and optimize different parts of the infrastructure, including but not limited to server commissioning, orchestration, server security, DB setup,monitoring, and alerting

  • Collaborate with your team members to continually improve working processes and share knowledge


Benefits


We are offering



  • Competitive compensation based on qualification

  • Pleasant and mind stimulating work environment (supporting work from home occasionally)

  • Hands-on experience in working on all stages of the creation of Machine Learning services

  • Additional rewards for good performance, proactivity and creativity


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