About the Role:
We are seeking an accomplished Engineering Manager with deep technical expertise in 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 both public and private sector clients in Saudi Arabia. This role requires strong hands-on technical proficiency.
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About Mozn:
Mozn is a rapidly growing technology firm headquartered in Riyadh, Saudi Arabia, focused on revolutionizing the field of Artificial Intelligence and Data Science. The company is committed to supporting and growing the tech ecosystem in Saudi Arabia and the GCC region, working closely with major government organizations, corporations, and startups. Mozn is dedicated to realizing Vision 2030 and is currently scaling its operations to deliver AI-powered products and solutions locally and globally.
Responsibilities:
- Lead and mentor a cross-functional engineering organization with multidisciplinary engineers.
- Oversee the architecture, design, and delivery of AI-enabled systems ensuring scalability and compliance with local regulations.
- Establish best practices in version control, CI/CD, testing, observability, and infrastructure automation.
- Drive modernization of cloud and on-prem infrastructure, including containerization and infrastructure-as-code.
- Architect and govern robust data pipelines for real-time analytics and AI workflows.
- Provide technical direction on software design patterns and system integrations.
- Ensure reliability and uptime through proactive Site Reliability Engineering practices.
- Lead capacity planning, cost optimization, and environment management across multi-cloud and on-premise ecosystems.
- Guide recruitment, technical assessments, and professional development across engineering teams.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science or a related technical field.
- 6+ years of experience in senior technical roles.
- Strong hands-on experience in:
- Software Engineering: Full-stack development with Python, JavaScript/TypeScript, Node.js, React, and/or Angular.
- Data Engineering: Expertise in ETL design, data modeling, and orchestration tools.
- Site Reliability Engineering: Proficiency in Linux systems, Docker, Kubernetes, and cloud automation tools.
- Solid understanding of distributed systems, APIs, security best practices, and observability.
- Strong leadership, communication, and stakeholder management skills.
- Demonstrated success in scaling teams and ensuring delivery excellence.
- Familiarity with AI/ML solution deployment and MLOps pipelines is highly desirable.
Benefits:
- Opportunity to join a high-growth company in an exciting field.
- Significant responsibility and trust in your role.
- Competitive compensation and top-tier health insurance.
- A dynamic workplace alongside some of the best minds in AI.
- An inclusive culture that values diversity and empowers individuals to be their best selves.
