Role overview

MultiBank Group, a global financial institution established in 2005 and headquartered in Dubai, is seeking an AI DevOps and Cloud Engineer to build and own the infrastructure backbone for its AI and Data function. This is a foundational role focused on designing cloud infrastructure from scratch, establishing CI/CD pipelines, and evolving the platform into a production-grade MLOps environment. You will be responsible for end-to-end infrastructure ownership in a fast-moving environment serving a thriving community of over 2 million clients across 100 countries.

Key responsibilities

Design, build, and own the complete cloud infrastructure for the AI and Data function on AWS, including VPCs, IAM, networking, security groups, compute, storage, and cost management.
Build and maintain CI/CD pipelines for data engineers, ML engineers, and data scientists using GitHub Actions or GitLab CI, implementing GitOps principles and automated deployment workflows.
Own general technology operations for the AI team, including environment setup, access management, developer tooling, system monitoring, incident response, and vendor and license management.
Own Docker and Kubernetes across all AI workloads, building scalable container environments for model training, batch processing, and real-time inference.
Work closely with ML engineers to deploy models into production, building model serving infrastructure, inference endpoints, and batch scoring pipelines, and owning the deployment side of the ML lifecycle.
Implement end-to-end observability across infrastructure, application performance, and ML model health, including alerting, dashboards, and on-call processes.
Set up and manage workflow orchestration tools such as Airflow, Dagster, or Prefect, and evolve MLOps practices including drift detection, data quality checks, performance tracking, and automated retraining.
Manage integrations from CDPs and analytics platforms into the central AWS data infrastructure and support deployment of metadata and BI tools within the cloud environment.
Ensure all cloud infrastructure and AI systems meet security and compliance standards, including secrets management, encryption, and access controls.

Requirements

Five to ten or more years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
Proven experience building cloud infrastructure from scratch, not solely maintaining existing environments.
Expert-level AWS skills are required and non-negotiable.
Hands-on experience with Kubernetes in production environments.
Experience with Infrastructure as Code using Terraform or CloudFormation.
Comfortable being the sole infrastructure owner on a team initially, with a strong ownership mindset.
Ability to work directly with data scientists and ML engineers and translate their needs into infrastructure solutions.
Experience in high-growth startups, scale-ups, or product companies is preferred; background in AI/ML infrastructure or MLOps is a strong advantage.

What makes this role worth considering

You will join one of the world’s leading financial derivatives institutions regulated by 18+ financial regulators across 5 continents and recipient of over 80 financial awards. This role offers strong opportunities for career progression within a global financial group committed to innovation and long-term growth, with access to a dynamic, international, and fast-growing environment.