We are looking for:
You, a top-notch DevOps engineer with a proven track record, to help design and bring to production a scalable, microservice-based, deep learning industrial process optimization cloud tools that will scale to support thousands of plants, in what will become a worldwide manufacturing optimization system.
In Your Role You Will:
Create and maintain bleeding-edge cloud infrastructure to host services developed in-house (Docker, Kubernetes, Service Mesh)
Work with architects and developers to create services built on observable, scalable and secure infrastructure
Deploy monitoring and alerting tools to give dev and support teams insight into how their services function
Build out CI/CD automation and workflows for new services and maintain workflows for existing services
Leverage public cloud services and tools to improve the efficiency and reliability of our services and workflows
Research and integrate new tools
Requirements: At least 5+ years as a DevOps Engineer
Experience developing and maintaining microservice-based SaaS systems
Experience managing CI/CD tools: Jenkins or GitLab CI or ArgoCD
Experience with container orchestration, Kubernetes, docker swarm
Experience with AWS and/or Google Cloud
This position is open to all candidates.