Senior DevOps Engineer (MLOps Focus)

Flatgigs

United Arab Emirates

Accepting Applications Full-time On-site
Posted 1 hour, 52 minutes ago 0 views 0 applications
Job Description
At AHOY, we reimagine and redefine movement. We're building a next\-generation technology ecosystem across mobility, logistics, and infrastructure, enabling innovators to create, scale, and operate smarter systems. We're looking for a hands\-on **Senior DevOps Engineer** to help us build, scale, and secure our multi\-cloud infrastructure. This role sits at the intersection of DevOps, AI infrastructure, and cloud security, where you'll take ownership of systems powering advanced machine learning workloads. As part of a fast\-moving engineering team, you'll also play a key role in supporting internal IT operations, ensuring reliability across both platform and people. **What You'll Work On** * Design and maintain secure, scalable cloud infrastructure across Azure and GCP * Build and optimise CI/CD pipelines and deployment workflows * Implement and manage Infrastructure as Code (IaC) (Terraform or similar) * Deploy and operate machine learning pipelines in production environments * Manage and scale multi\-cluster GPU environments for AI workloads * Set up monitoring, logging, and alerting systems to ensure reliability * Apply cloud security best practices across infrastructure and access layers * Troubleshoot and resolve system, deployment, and performance issues * Provide hands\-on IT support (user access, devices, internal systems) to ensure smooth day\-to\-day operations * Collaborate with engineering teams to improve scalability, performance, and automation **Requirements** * 4\+ years of experience in DevOps / SRE / Infrastructure Engineering * Strong experience with Azure and Google Cloud Platform (GCP) * Hands\-on experience building and managing CI/CD pipelines * Solid expertise in Infrastructure as Code (Terraform, Pulumi, etc.) * Experience managing Kubernetes environments and GPU workloads * Proven experience deploying machine learning models or MLOps pipelines * Strong understanding of cloud security, networking, and system reliability * Comfortable handling IT support responsibilities alongside core DevOps work * Strong problem\-solving mindset with the ability to work independently
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