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Senior DevOps Engineer (MLOps Focus)

Flatgigs

PakistanPosted 3 days agoRemote

  • LocationPakistan
  • Work typeRemote
  • EmploymentFull-time
  • Posted24 October 2026
  • SourceHimalayas job feed
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About the role

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

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