Senior DevOps Engineer – MLOps Focus
Flatgigs
full-time
Posted on:
Location Type: Remote
Location: United Arab Emirates
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud infrastructureCI/CD pipelinesInfrastructure as CodeTerraformmachine learning pipelinesKubernetesGPU environmentscloud securitynetworkingsystem reliability
Soft Skills
problem-solvingindependent workcollaboration