Infrastructure as Code Engineer

5 days ago

Islamabad, Islamabad, Pakistan Mercurial Minds - M.M. Full time

1 day ago Be among the first 25 applicants

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Role Overview:

We are seeking a highly capable Infrastructure as Code (IaC) Engineer to lead the design, implementation, and management of automated infrastructure provisioning for high-performance AI data centers. This role is central to orchestrating compute, network, storage, and virtualization layers using modern IaC tools across on-premise and hybrid cloud environments.

The ideal candidate will play a strategic role in enabling scalable and repeatable deployment pipelines that support GPU clusters, AI model training environments, and containerized platforms such as Kubernetes and OpenShift.

Key Responsibilities:


• Design and implement IaC frameworks to automate the provisioning and configuration of data center infrastructure for AI workloads.


• Orchestrate and manage multi-layer automation across compute (GPU/CPU), networking (VXLAN, EVPN, BGP), storage (NVMe, object, parallel file systems), and virtualization platforms (KVM, VMware, OpenShift).


• Develop reusable Terraform modules, Ansible playbooks, and YAML templates to define infrastructure in version-controlled environments.


• Automate deployment of Kubernetes clusters and integrate with GPU operators for training and inference pipelines.


• Build and maintain CI/CD pipelines to deploy, test, and manage infrastructure changes using tools like GitLab CI/CD, Jenkins, or ArgoCD.


• Integrate with monitoring and observability stacks (Prometheus, Grafana, DCGM) for automated infrastructure validation and health monitoring.


• Work closely with AI/ML platform teams to align infrastructure deployment with model training, data pipelines, and security policies.


• Ensure compliance with security and operational standards through policy-as-code and drift detection mechanisms.

Required Skills & Experience:


• 5+ years of experience in infrastructure automation or SRE roles with hands-on IaC deployment.


• Proficiency in Terraform, Ansible, and scripting languages such as Python, Bash, and YAML.


• Experience automating infrastructure in GPU-intensive environments supporting AI/ML workloads.


• Strong understanding of networking (VXLAN, EVPN, BGP, RoCE) and virtualization platforms (OpenShift, VMware, KVM).


• Familiarity with Kubernetes, Helm, Operators, and container orchestration frameworks.


• Exposure to storage automation for AI data lakes (e.g., Ceph, BeeGFS, Lustre, or S3-compatible storage).


• Experience with CI/CD tools (GitLab CI/CD, Jenkins, ArgoCD, Flux) in IaC pipelines.

Preferred Certifications:


• Red Hat Certified Specialist in Ansible Automation


• CKA (Certified Kubernetes Administrator) or equivalent

Cloud certifications (AWS, Azure, or GCP – preferred for hybrid orchestration

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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