The company is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is dedicated to realizing Vision 2030 and has a proven track record in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. The company serves as a trusted AI technology partner for large government organizations, corporations, and startups. As the company scales to offer AI-powered products and solutions locally and globally, it aims to create a lasting impact on digital humanity.
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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 public and private sector clients in Saudi Arabia. This position requires strong hands-on technical proficiency.
Responsibilities:
- Lead and mentor a cross-functional engineering organization of multidisciplinary engineers.
- Oversee the end-to-end architecture, design, and delivery of AI-enabled systems ensuring scalability, resilience, and compliance with local regulations (e.g., PDPL).
- Establish and enforce best practices in version control, CI/CD, testing, observability, and infrastructure automation.
- Drive modernization of cloud and on-prem infrastructure, including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible) practices.
- Architect and govern robust data pipelines for real-time analytics, model training, and AI workflows using Spark, Kafka, Airflow, SQL, and NoSQL databases.
- Provide technical direction on software design patterns, microservices architectures, and system integrations using Python, Node.js, and modern front-end frameworks (React, Angular, Vue).
- Ensure reliability and uptime targets through proactive Site Reliability Engineering practices, including monitoring (Prometheus, Grafana, ELK), incident management, and performance optimization.
- Lead capacity planning, cost optimization, and environment management across multi-cloud (AWS, GCP, OCI, Azure) 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 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:
- Join a high-growth organization at the forefront of an exciting time for the Middle East.
- Enjoy significant responsibility and trust in your role.
- Competitive compensation and top-tier health insurance.
- An enabling culture that allows you to focus on your strengths.
- A fun and dynamic workplace alongside some of the greatest minds in AI.
- An inclusive environment that embraces diversity and empowers individuals to be their best selves.
