Process de recrutement augmenté par IA
Si votre profil corespond, vous recevrez une invitation pour un entretien avec un Agent IA. L'objectif: accélérer significativement le temps de recrutement et faire émerger objectivement les meilleurs profils.
Introduction to the position
Join Haldorix, a startup studio transforming operational challenges into scalable business opportunities through cutting-edge technology. We focus on identifying recurring issues in sectors like industry, retail, and logistics, turning them into ventures with tangible impact. We are currently seeking a Full-Stack Python Engineer who is eager to learn and grow, handling the full data pipeline while contributing to ventures that deliver measurable value.
Your role
• Develop and maintain end-to-end data pipelines for operational and business logic execution.
• Collaborate on the design and architecture of robust real-time systems.
• Integrate various data streams to ensure smooth data flow and low-latency responses.
• Implement scalable backend services using Python and relevant frameworks.
• Engage in continuous performance optimization and system benchmarking.
• Support DevOps and video processing initiatives as needed, learning and adapting to new technologies.
Your team
As a part of our compact, high-energy engineering team, you'll work closely with venture leads and specialists in computer vision and real-time systems. Our team is dynamic, collaborative, and driven by a shared goal of delivering innovative solutions quickly and effectively. You will report to the lead engineer and engage with cross-functional teams to ensure the success of each venture.
Your qualifications
Required qualifications :
• Strong foundation in computer science fundamentals and Python programming.
• Experience in full-stack development, including backend services.
• Eagerness to learn and adapt to new technologies, particularly in DevOps and video processing.
• Ability to work collaboratively in a high-paced environment.
• Strong problem-solving skills and a proactive attitude.
Nice to have :
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Experience with video processing technologies such as FFmpeg.
• Understanding of real-time data processing and event-driven architectures.
• Exposure to MQTT, REST APIs, and state machine design.
Benefits
• Opportunity to work on impactful industrial AI projects from concept to production.
• Collaborative environment with experts in AI and real-time systems.
• Fast-paced startup culture with a focus on technical excellence and innovation.
• Potential for growth and development across multiple technology domains.
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
