TL;DR:
Imubit is looking for a top-notch System Architect with hands-on experience to bring to scale breakthrough deep learning technologies disrupting the manufacturing world!
About us:
Imubit directly controls and optimizes refineries and chemical plants with AI to add millions of dollars to the plant bottom line while managing safe operating limits, energy efficiency, and sustainability objectives. Imubit’s Closed Loop Neural Network platform allows customers to leverage an advanced form of AI called Reinforcement Learning (RL). Through our patented approach to apply RL for industrial processes, industry leaders have been able to fundamentally change the way they optimize their plants and improve profitability in real-time.
Imubit’s solution is currently optimizing the manufacturing facilities of Fortune-500 companies. Imubit has combined the industry expertise from companies like Exxon and Shell with award-winning data scientists endorsed by Google. Imubit is backed by tier-1 venture capital firms such as Insight Partners.
We are seeking:
A top-notch System Architect with a proven track record to help design and bring to production scalable, microservice-based, deep learning cloud tools for industrial process optimization. This solution will support thousands of plants and form the foundation of a global manufacturing optimization system.
Role description:
- Key member in the R&D leadership team
- Lead system designs and mentor engineers across the R&D
- Be the right-hand man for the VP R&D and the R&D team leaders
- Actively participate in plannings and designs
- Leadership and involvement in technical explorations and exploration of innovative technologies
- Ability to soar up to the system level design and dive into the codebase
- Actively participate in coding activities according to the needs/urgency/complexity
Our Tech stack includes:
- Micro-services oriented architecture
- Go & Python
- Lambda (AWS and GCP)
- AWS RDS
- Postgres
- React
- Kubernetes (GKE and AKS)
- TensorFlow
- RabbitMQ
- On Premise and SaaS
Requirements:
- At least 5 years as Software Engineer
- At least 3 years as System Architect
- Experience developing and maintaining microservice-based SaaS systems
- Experience with production monitoring solutions
- Experience with On-Premise applications
- Experience with complex system designs
- Experience with performance challenges & scalability
- Hands-on production troubleshooting experience
- Prior experience and knowledge of secure coding practices and secure designs
- Knowledge of AWS
Advantage:
- Python & Go prior hands-on experience
- Prior experience with TensorFlow specifically and/or Neural Networks generally
