Engineer DevOps
Il y a 6 mois
**About us**
**About DigiPART**
DigiPART is a state-of-the-art, AI-based, SaaS solution incorporating years of engineering know-how in the area of additive manufacturing and supply chain. It enables users to rapidly and accurately assess the technical and economical printability of parts, individually and by thousands, then print them anywhere in the world.
The solution (frontend/backend/database/queues/workers) runs on Kubernetes in Public Cloud (AWS), and on Private Clouds or even on-premises for customers in sensitive business areas.
**The Mission**
Reporting to SP3D’s CPTO, you will be in charge of designing, implementing, maintaining, and operating DigiPART’s infrastructure, and you will contribute to adjacent areas of the backend (data modeling, database optimization, workers, and queues).
**What you’ll be working on**
**K8s**
- Supervision, Logging, Security
- On-premises / off Internet Kube
- Disaster recovery / non-AWS public clouds
- Cost optimization (on-demand workers,)
**Backend**
- Data modeling and database optimization (through Django ORM, no “pure” SQL although some knowledge can be beneficial)
- Workers: improve efficiency, queue management, and more
**Environment**
- You’ll work in an agile squad on an industrial-grade SaaS, with modern technologies and an integrated CI/CD pipeline, reporting to SP3D’s CPTO
**Who you are**
- A junior software developer, with a first experience in Kubernetes, ideally with an engineering degree
- Capacity to communicate in English or French
- Basic Proficiency in Python, Django
**What we will do**
We’ll welcome, support, and train you, so you’ll learn what you don’t already know.
**Location**
Our Paris offices are at rue Mademoiselle (15e, M° Commerce), but you can be anywhere — we’re operating a lot remotely, anyway.
**Our technical stack**
- React (TypeScript) / GraphQL outside
- Django / Graphene / PostgreSQL inside
- RabbitMQ, Celery workers, Kubernetes as foundations
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