TL;DR:

Imubit is looking for a top-notch Senior DevOps engineer to design and optimize the infrastructure behind our reinforcement learning models, from CI/CD pipelines to cloud-native deployment.

About us:

At Imubit, we’re not just optimizing industrial processes—we’re redefining how entire industries operate. As the pioneer of Closed Loop AI Optimization (AIO), we are leading the charge in transforming refining, chemical, cement, and mineral mining plants with AI-driven automation. Our Optimizing Brain™ Solution puts the power of AI directly into the hands of engineers, enabling them to build and deploy their own multipurpose models to unlock new levels of efficiency, profitability, and sustainability.

Seven of the top ten U.S. refiners trust Imubit, with our solution deployed in over 90 high-value applications, delivering real-time process optimization that drives margins, reduces emissions, and builds the AI-savvy workforce of the future. Co-founded by a Google Fellow and award-winning data scientist, Imubit brings together domain experts from industry leaders like Exxon, Shell, Holcim, and FLSmidth. Backed by tier-1 venture capital firms such as Insight Partners and Alpha Wave, we are setting a new standard for industrial AI.

Our mission is simple but bold: helping the world’s leading industrial companies solve their most complex challenges, maximize long-term profitability, and future-proof their operations in an era of rapid change. If you’re ready to push boundaries and shape the future of industrial intelligence, now’s the time to join us.

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.

Role description:

• 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

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:

• 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
• Knowledge of AWS and/or Google Cloud

Advantage:

• Development experience, preferably in Python
• Knowledge of Experience using Istio, LinkerD or other service mesh tools
• Hands-on production troubleshooting experience
• Experience in maintaining web-based products
• Experience in handling on-premise infrastructure
• Experience building out VPC