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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
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
- 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
Key Skills
Ranked by relevance
cloud
devops
machine learning
cloud security
infrastructure as code
terraform
cicd
ai
google cloud platform
kubernetes
mlops
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- Posted
- Apr 14, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- United Arab Emirates
- Company
- Flatgigs
Industries
IT Services
IT Consulting
Categories
Other
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