Engineering Manager

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About the role

We are seeking an accomplished Engineering Manager with deep technical expertise across DevOps, Data Engineering, and Software Engineering to lead our multidisciplinary team. The successful candidate will oversee the analysis, design, development, and operation of mission-critical AI-driven platforms serving public and private sector clients in Saudi Arabia. This position requires a strong hands-on technical proficiency.

What you'll do

• Leading and mentoring a cross-functional engineering organization encompassing multidisciplinary engineers
• Overseeing the end-to-end architecture, design, and delivery of AI-enabled systems ensuring scalability, resilience, and compliance with local regulations (e.g., PDPL)
• Establishing and enforcing best practices in version control, CI / CD, testing, observability, and infrastructure automation
• Driving the modernization of cloud and on-prem infrastructure, including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible) practices
• Architecting and governing robust data pipelines supporting real-time analytics, model training, and AI workflows using Spark, Kafka, Airflow, SQL, and NoSQL databases
• Providing technical direction on software design patterns, microservices architectures, and system integrations using Python, Node.js, and modern front-end frameworks (React, Angular, Vue)
• Ensuring reliability and uptime targets through proactive SRE practices such as monitoring (Prometheus, Grafana, ELK), incident management, and performance optimization
• Leading capacity planning, cost optimization, and environment management across multi-cloud (AWS, GCP, OCI, Azure) and on-premise ecosystems
• Guiding recruitment, technical assessments, and professional development across engineering teams

Qualifications

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