Engineering Manager at Mozn

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Data Engineering, Software Engineering, AI, Cloud Infrastructure, Containerization, Infrastructure Automation, Data Pipelines, Microservices, Site Reliability Engineering, Monitoring, Incident Management, Capacity Planning, Cost Optimization, Leadership, Communication

Industry

Software Development

Description

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 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 across: Software Engineering: Full-stack development using Python, JavaScript/TypeScript, Node.js, React, and/or Angular Data Engineering: Expertise in ETL design, data modeling, and orchestration tools such as Apache Airflow, Spark, Kafka, and modern data warehouses (BigQuery, Snowflake, Redshift) Site Reliability Engineering: Proficiency in Linux systems, Docker, Kubernetes, CI/CD (Jenkins, GitLab CI), and cloud automation tools (Terraform, Ansible) Solid understanding of distributed systems, APIs, security best practices, and observability Strong leadership, communication, and stakeholder management skills Demonstrated success in scaling teams, defining KPIs, and ensuring delivery excellence Familiarity with AI/ML solution deployment, MLOps pipelines, and hybrid infrastructure environments is highly desirable Benefits You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space. You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best. The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI. We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Responsibilities

The Engineering Manager will lead a multidisciplinary team overseeing the analysis, design, development, and operation of AI-driven platforms. They will ensure the architecture and delivery of scalable systems while establishing best practices in engineering processes.