About the position
Introduction to the position
Join Haldorix, a startup studio turning real-world operational challenges into scalable business opportunities through technology. We identify recurring problems in industries such as manufacturing, retail, and logistics, and transform them into ventures with measurable impact.
we’re looking for a Full-Stack Python/DevOps Engineer who combines automation expertise with hands-on experience in computer vision, data management, and deployment at scale.
Your role
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- Data Quality & Automation: Build and maintain automated pipelines to ensure high-quality video capture, data integrity, and continuous dataset backups.
- Image Processing & Pre-Labelling: Implement pre-labelling and automated clip processing pipelines using Python, OpenCV, and scikit-image.
- Backend Engineering: Develop and maintain the HD Zoom Manager service using Flask, ensuring reliable, low-latency video recording and retrieval.
- Containerization & Deployment: Package applications with Docker and Helm, and oversee seamless deployment across Kubernetes clusters.
- System Integration: Collaborate with other engineers to ensure all components from data capture to visualization work together in real time.
- CI/CD & Reliability: Apply DevOps best practices to automate testing, deployment, and monitoring, ensuring system reliability throughout the sprint.
- Documentation & Handover: Deliver clear deployment manifests and technical documentation to support long-term scalability and maintainability.
Your team
You’ll join a compact, high-energy engineering team operating in a fast-paced environment. Working closely with Haldorix’s venture leads and computer vision specialists, you’ll bridge development, automation, and infrastructure. The environment is pragmatic, creative, and intensely collaborative, every member contributes directly to a tangible product delivered in record time.
Your qualifications
Required
- 2+ years of experience in full-stack engineering with strong DevOps fundamentals
- Strong command of Python (automation, scripting, backend)
- Proficiency with Docker, Docker Compose, and Kubernetes (Helm)
- Experience with CI/CD pipelines and deployment automation
- Solid foundation in image processing (OpenCV, scikit-image)
- Proficiency with RESTful API development (Flask or FastAPI)
Nice to Have
- Experience with industrial or computer vision systems
- Familiarity with data labeling pipelines or MLOps workflows
- Understanding of edge computing and streaming architectures
- Exposure to Grafana, Prometheus, or observability tools
- Experience in startup environments
Benefits
- Work on a cutting-edge industrial AI project from concept to production in just 10 days
- Join a team where execution speed meets technical excellence
- Collaborate with experts in AI, vision systems, and automation
Recruitment process
- Jobzyn AI interview (25–45 min)
- Technical interview (1h) with the Lead Developer or Technical Architect
- Practical test (2–3h) based on a real-world use-case
- Final interview with the team and partners
L'ENTREPRISE
Haldorix est un startup studio qui transforme les défis opérationnels terrain en opportunités business grâce à la technologie. Nous identifions des problématiques récurrentes dans l'industrie, le retail ou la logistique, et nous créons des solutions dédiées qui deviennent des produits à part entière. Chaque venture naît d'un besoin terrain validé et vise une création de valeur mesurable. Nos deux premières ventures sont : • DeVisu : Vision par ordinateur pour l'optimisation opérationnelle • Nitra3AI : IA générative pour l'augmentation de performance industrielle