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Project Overview:

An intelligent Facility management tool with predictive maintenance focus for the manufacturing industry. The system provides a real-time overview of manufacturing assets status as well as an analysis to predict possible asset failure. Predictive maintenance can be used both in real-time and in the long run, leading to cost-savings through more efficient asset usage and maintenance based on sensors data.


  • Creating and maintaining scalable, reliable, consistent, and repeatable systems;
  • Implementing, configuration and deployment using Doker and Kubernetes;
  • Working closely with Development to deploy new software and improve existing systems;
  • Responding reliably to on-call issues as needed;
  • Setup and tune performance measurement pipelines for different target platforms.


  • 5+ years of professional experience in IT operations or DevOps;
  • Experience Working Distributed Systems;
  • Experience Designing and Maintaining CI/CD pipelines.

Programming experience/skills with one or more of the following:

  • Required: GoLang, Bash, Shell, Python;
  • Experience with OpenShift;
  • Linux administration;
  • Monitoring systems (Infrastructure, application monitoring);
  • Understanding of Agile methodology;
  • Experience working with highly virtualized environments and Containerization (Docker);
  • Proven experience with container orchestration (Kubernetes);
  • Experience with on-premise deployment.
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