Senior DevOps Engineer (MLOps Focus)

About the role

AHOY, a company building a technology ecosystem across mobility, logistics and infrastructure, is looking for a hands-on Senior DevOps Engineer to build, scale and secure its multi-cloud infrastructure. The role sits at the intersection of DevOps, AI infrastructure and cloud security, owning systems that power advanced machine learning workloads, while also supporting internal IT operations.

Key responsibilities

• 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 (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
• 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)
• Collaborate with engineering teams to improve scalability, performance and automation

Required profile

• 4+ years of experience in DevOps, SRE or infrastructure engineering
• Proven experience deploying machine learning models or MLOps pipelines
• Comfortable handling IT support alongside core DevOps work
• Strong problem-solving mindset and ability to work independently

Required skills

• Strong experience with Azure and Google Cloud Platform (GCP)
• CI/CD pipeline management
• Infrastructure as Code (Terraform, Pulumi, etc.)
• Kubernetes and GPU workload management
• Cloud security, networking and system reliability