Senior DevOps Engineer (MLOps Focus)
TypeFull-time job
LocationPakistan
Posted1 hour ago
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
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
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