Introduction to the position
Join Haldorix, a venture studio transforming real-world operational challenges into business opportunities through technology.
At Haldorix, we identify recurring pain points in industries like manufacturing, retail, and logistics, and turn them into scalable, high-impact ventures. Each product begins with a validated field need and evolves into a standalone company delivering measurable value.
We’re looking for a Tech lead to own the design and integration of a real-time industrial vision platform for productivity monitoring in textile production lines. This is ideal for a hands-on technical leader ready to move fast and build at scale.
Your role
- 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.
Your team
You’ll join a tight-knit, multi-venture engineering team driven by speed, learning, and impact.
You’ll collaborate closely with Haldorix’s founders and with talented engineers to co-design a reliable, scalable architecture. The team values clarity, autonomy, and rapid iteration. Combining startup agility with engineering discipline. Expect intense focus, clear objectives, and meaningful ownership from day one.
Your qualifications
Required:
- 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
- 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