IT Server Administrator – English fluent – Casablanca. Join our office-based team to manage and secure physical and virtual servers, network infrastructure, and endpoint protection. You will troubleshoot issues, implement security policies, and maintain Azure/AWS environments. Strong communication, teamwork, and problem‑solving skills are essential.

We are seeking a Senior Backend Tech Lead to spearhead our backend engineering team at z.systems, a VC-backed tech company revolutionizing retail across Africa. The role demands 5+ years of backend experience, strong leadership, and expertise in scalable transactional systems, gamification engines, and cloud infrastructure. You will mentor engineers, architect robust solutions, and collaborate closely with product and DevOps to deliver high‑quality features. Join a dynamic, growth‑oriented environment where your impact will shape the future of retail in emerging markets.

The Senior Backend Engineering Lead will spearhead the design, implementation, and scaling of our core backend services, ensuring high reliability, security, and performance. Working closely with product managers and DevOps, the role demands strong technical leadership, mentorship of junior engineers, and hands‑on involvement in architecture decisions, code reviews, and deployment pipelines. The ideal candidate brings 6‑9 years of backend experience, expertise in AWS, PostgreSQL, Node.js, and a proven track record building scalable transactional and gamification systems.

We are seeking an experienced MLOps Engineer – Edge AI Specialist to design and deploy on‑premise inference infrastructure for industrial vision systems. The role involves building hybrid edge/cloud architectures, optimizing deep learning models for embedded GPUs, and maintaining CI/CD pipelines for edge deployment. The ideal candidate will have 3–5 years of experience in MLOps, edge computing, and GPU performance profiling, with strong skills in Python, Docker, Kubernetes, and monitoring tools. This position offers the chance to work in a fast‑moving startup studio focused on scalable AI ventures.

We are seeking an experienced MLOps Engineer – Edge AI Specialist to lead the design and deployment of on‑premise inference infrastructure for industrial vision systems. The role involves architecture of hybrid edge/cloud solutions, model optimization for embedded GPUs, CI/CD pipeline development, fleet management, and compliance with GDPR. The ideal candidate has 3‑5 years of production experience, expertise in TensorRT, ONNX, Kubernetes, and Python, and a strong background in real‑time analytics and GPU performance profiling.