JobMatch
← Back to jobs

Senior DevOps Engineer (MLOps Focus)

Flatgigs

RemotePakistanseniorFull Time
Posted
today
Source
Himalayas
Field
Engineering

Skills

Machine LearningGCPKubernetesTerraformSecurityDevOpsAzureCI/CDNext.jsAI

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 Originally posted on Himalayas

JobMatch aggregates public listings. Always apply through the original posting.