Automated Infrastructure Provisioning Specialist

5 days ago

Islamabad, Islamabad, Pakistan beBeeCloud Full time
Infrastructure as Code Engineer

We are seeking a skilled Infrastructure as Code 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

The ideal candidate should possess the following skills and 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.
Benefits

This role offers a range of benefits, including:

  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.
Others

We are an equal opportunities employer and welcome applications from diverse candidates.

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