Desired Skills and Experience

  • Maintain Jenkins CI projects
  • Maintain Ansible configuration management automation for deployment
  • Coordinate efforts with development and management
  • Estimation of capacity requirements and scaling to meet them        
  • Maintain health monitoring systems and integration with Datadog or Beats/Elasticsearch
  • Set up and maintain production, staging and development stacks using Amazon VPCs
  • Database operations with Elasticsearch, MongoDB and others, including import and export of data, backups, migration and scaling          
  • Technical documentation of operational details and procedures
  • At least 2 years of experience as a DevOps Engineer                      
  • Fluent in English
  • Autodidact, fast learner, proactive attitude, work autonomously, ability to take full ownership on tasks and challenges
  • High motivation and willingness to learn  
  • Eligibility to work in Germany would be advantageous
  • Knowledge and experience of AWS (EC2, VPC, ELB, S3, ElastiCache etc.)
  • Strong knowledge of Ansible is preferred, but knowledge of Chef and/or Puppet is acceptable
  • Significant experience in all of the following: Cloud architecture, Networking, Open VPN, Linux servers, script writing, the building and deployment of automation tools, DB management, Elasticsearch cluster maintenance, and MongoDB
  • Familiarity with Java 8, Spring MVC, JUnit, Maven, and load testing  
  • Familiarity with Redis and RabbitMQ
  • Experience with Packer and other Hashicorp tools    
  • Understanding of Networking Fundamentals, eg. subnets, TCP, UDP, ports etc.
  • Experience with Linux/Docker containers deployment using Kebernetes
  • Experience working with Git, Jenkins, Linux, and Bash scripting                              
  • Knowledge of Python and/or Ruby
  • Good understanding of the challenges of Scaling and experience devising solutions for these challenges
  • Experience with automated deployment in large scale production environment
  • Knowledge of security policies implementation best practices and familiarity with Big Data and Machine Learning would both be very advantageous.