Haldorix, a venture studio focused on turning operational challenges into scalable business solutions, is looking for a seasoned Technical Lead to spearhead the development of a real‑time vision platform for the textile industry. This platform will monitor productivity on production lines, providing actionable insights through a robust, distributed architecture.

Key Responsibilities

• Own the global architecture of a distributed, real‑time computer vision system using MQTT, REST, and WebSocket.
• Design and implement the KPI aggregation service, leveraging REST APIs, SSE, and Prometheus for real‑time insights.
• Set up secure and observable infrastructure, ensuring monitoring, alerting, and data integrity across cloud and on‑premise environments.
• Integrate and coordinate with cross‑functional partners to ensure best‑practice architecture and system reliability.
• Define communication flows between microservices and maintain consistency across APIs and message queues.
• Manage DevOps operations, including deployment automation, containerization, and Kubernetes configuration.
• Implement business alerts through Slack and other monitoring tools for proactive system health management.
• Lead with precision, ensuring the sprint is delivered on time and meets production‑grade performance standards.

Required Qualifications

• 3+ years of experience in software architecture.
• Strong command of Python backend development, including asynchronous programming patterns using Flask or FastAPI.
• Proven expertise in microservices design and real‑time messaging (MQTT, WebSocket, SSE).
• Experience with Kubernetes, Helm, and Docker.
• Familiarity with Prometheus, Grafana, and system observability.
• Strong communication skills in French and English.

Nice to Have

• Experience in industrial, IoT, or computer vision environments.
• Previous collaboration with cross‑disciplinary AI or DevOps teams.

Benefits

• Join a startup studio at the forefront of industrial innovation.
• Take full ownership of a mission‑critical system.
• Collaborate with top‑tier engineers and venture builders.
• Contribute to a project with immediate measurable impact on real operations.

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.

Apply now to lead the next generation of industrial vision solutions and drive tangible value across manufacturing, retail, and logistics sectors.