Haldorix, a dynamic startup studio based in Casablanca, is on the lookout for a seasoned Full‑Stack Python/DevOps Engineer to join its engineering team. The successful candidate will play a pivotal role in transforming real‑world operational challenges into scalable business solutions through cutting‑edge technology.

Key Responsibilities:

• Data Quality & Automation: Design, implement, and maintain automated pipelines that guarantee high‑quality video capture, data integrity, and continuous dataset backups.
• Image Processing & Pre‑Labelling: Build pre‑labelling and automated clip processing workflows using Python, OpenCV, and scikit‑image to support computer vision initiatives.
• Backend Engineering: Develop and sustain the HD Zoom Manager service with Flask, ensuring reliable, low‑latency video recording and retrieval.
• Containerization & Deployment: Package applications with Docker, orchestrate with Helm, and oversee seamless deployment across Kubernetes clusters.
• System Integration: Collaborate with cross‑functional engineers to ensure all components—from data capture to visualization—operate cohesively in real time.
• CI/CD & Reliability: Apply DevOps best practices to automate testing, deployment, and monitoring, guaranteeing system reliability throughout the sprint.
• Documentation & Handover: Produce clear deployment manifests and technical documentation to support long‑term scalability and maintainability.

Required Qualifications:

• Minimum 2+ years of experience in full‑stack engineering with strong DevOps fundamentals.
• Proficiency in Python (automation, scripting, backend).
• Hands‑on experience with Docker, Docker Compose, Kubernetes, and Helm.
• Experience building CI/CD pipelines and deployment automation.
• Strong knowledge of RESTful API development using Flask or FastAPI.

Nice to Have:

• Solid foundation in image processing (OpenCV, scikit‑image).
• 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 working in startup environments.

Benefits:

• Work on a cutting‑edge industrial AI project from concept to production in just 10 days.
• Collaborate with experts in AI, vision systems, and automation.
• Join a high‑energy engineering team that values speed, technical excellence, and collaboration.

Recruitment Process:

1. Jobzyn AI interview (25–45 min).
2. Technical interview (1h) with the Lead Developer or Technical Architect.
3. Practical test (2–3h) based on a real‑world use‑case.
4. Final interview with the team and partners.

Haldorix is a startup studio that transforms operational challenges into business opportunities through technology. The company focuses on industries such as manufacturing, retail, and logistics, creating dedicated solutions that evolve into standalone products. The role offers a unique chance to contribute to innovative ventures like DeVisu (computer vision for operational optimization) and Nitra3AI (generative AI for industrial performance enhancement). If you thrive in a fast‑paced, collaborative environment and are passionate about building scalable AI solutions, apply now to join Haldorix.