Position: Lead/Senior DevOps engineer for US client
Company: Intellias
Experience required: 3y
English level: upper

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.
Responsibilities: 
• 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

Requirements:

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 xperience with container orchestration (Kubernetes)
Experience with on-premise deployment