About us:
The product directly controls and optimizes refineries and chemical plants with AI to add millions of dollars to the plant's bottom line while managing safe operating limits, energy efficiency, and sustainability objectives. The Closed Loop Neural Network platform allows customers to leverage Reinforcement Learning (RL) developed by world-class machine learning scientists. Through our patented approach to applying RL for industrial processes, industry leaders have been able to fundamentally change the way they optimize their plants and improve profitability in real-time. The solution is currently optimizing the manufacturing facilities of Fortune-500 companies and it has combined the industry expertise from companies like Exxon and Shell with award-winning data scientists endorsed by Google. The company is backed by tier-1 venture capital firms such as Insight Partners.
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 tool that will scale to support thousands of plants, in what will become a worldwide manufacturing optimization system.
In Your Role You Will:
Our toolbox includes: Kubernetes (GKE and AKS), Lambda (AWS and GCP Cloud Functions), Git, Docker, Terraform and Ansible, Helm, Python and Bash, Gitlab, Jenkins.
Requirements:
Nice to have:
What we offer: