Haldorix, a startup studio based in Casablanca, is seeking a Senior Tech Architect to spearhead the creation of a cutting‑edge industrial vision system. The project focuses on monitoring productivity on textile production lines, delivering a field‑ready solution that integrates real‑time computer vision, robust distributed architecture, and comprehensive observability.

Key Responsibilities:

• Architect & Design: Define the overall system architecture, ensuring cohesion across components such as cameras, AprilTags, Kubernetes clusters, and monitoring dashboards.
• Field Deployment: Oversee on‑site installation, calibration of AprilTags and cameras, and network configuration to guarantee optimal data capture.
• Quality Assurance: Coordinate QA activities, conduct end‑to‑end acceptance testing in production environments, and validate system performance against defined KPIs.
• Monitoring Setup: Configure Grafana dashboards, integrate Prometheus metrics, and establish business‑specific KPIs for real‑time visibility.
• Documentation: Produce comprehensive technical and operational documentation to support deployment, maintenance, and scalability.
• Cross‑Functional Collaboration: Act as the bridge between technical and business stakeholders, ensuring alignment between field needs and system capabilities.
• Continuous Improvement: Identify optimization opportunities and propose architecture adjustments based on real‑world performance feedback.

Required Qualifications:

• 3+ years of experience in system architecture.
• Strong understanding of resilient, distributed systems design.
• Hands‑on knowledge of Kubernetes, Prometheus, and Grafana.
• Familiarity with computer vision systems and on‑field hardware calibration.
• Solid foundation in QA methodologies and field validation processes.
• Excellent communication and documentation skills in English and/or French.

Nice to Have:

• Prior experience in industrial automation or IoT environments.
• Familiarity with AprilTags, camera calibration, or real‑time data pipelines.
• Exposure to Python, FastAPI, or edge‑AI deployment workflows.
• Previous work in a startup environment.

Benefits:

• Immediate impact through a high‑intensity, real‑world project.
• Opportunity to shape a new industrial AI venture from its early stages.
• Work directly with cross‑disciplinary experts at the frontier of AI and operations.
• A mission‑driven environment that values autonomy, clarity, and purpose.

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.

Join Haldorix and contribute to transformative solutions that turn operational challenges into scalable business opportunities.