📍 Paris, Station F | 🕐 Full-time | 💰 Competitive Salary | 🌍 Onsite
We’ve partnered with an ambitious AI startup on a mission to revolutionize how businesses leverage structured data through intelligent, automated workflows. Backed by $4M in funding, their proprietary Tabular Foundation Model powers a cutting-edge platform enabling companies to build AI agents that natively interact with tabular data—no custom training needed.
They are now hiring a DevOps Engineer to drive the development, scalability, and reliability of their AI platform. This is a pivotal role in a fast-growing team, working closely with ML engineers, data scientists, and product teams.
What You'll Do
- Build and scale infrastructure with Docker, Kubernetes, and Terraform
- Automate CI/CD pipelines and deployment processes using Shell/Bash scripting
- Manage and optimize cloud resources (AWS, GCP, or Azure) as infrastructure-as-code
- Support robust data pipelines for large-scale ML workflows
- Implement monitoring and observability tools (Grafana, Prometheus, ELK, etc.)
- Collaborate on platform build-out and API development in Python and TypeScript/React
- Ensure security, traceability, and performance across systems
What We're Looking For
- 5 years in software/DevOps engineering, with strong Python and CI/CD experience
- Hands-on expertise with Docker, Kubernetes, and Terraform
- Comfortable managing large datasets and performance-critical services
- Bonus: Experience with Rust, C , or large-scale ML infrastructure
Join a collaborative, forward-thinking team where your impact will be immediate and meaningful.
Apply now to be part of something transformative.
