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Responsibilities

  • Design, implement, and maintain cloud infrastructure using Terraform and IaC principles.
  • Build and manage AI platform environments across Azure, AWS,
  • Develop reusable Terraform modules and infrastructure standards.
  • Implement infrastructure automation to improve scalability, reliability and operational efficiency.
  • Design and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, or Jenkins.
  • Automate build, test, deployment, and release processes for AI and application workloads.
  • Implement GitOps and DevSecOps best practices.
  • Support deployment and lifecycle management of AI/ML and Generative AI applications.
  • Build and maintain MLOps capabilities including model deployment, versioning, monitoring, and governance.
  • Enable integration with AI services such as Azure OpenAI, OpenAI APIs, Azure AI Services, AWS Bedrock, or Vertex AI.
  • Deploy and manage containerized workloads using Docker and Kubernetes.
  • Maintain scalable Kubernetes environments for AI and enterprise applications.
  • Troubleshoot performance, security, and reliability issues within container platforms.
  • Implement cloud security best practices, IAM, secrets management, and compliance controls.
  • Ensure platform reliability, observability, logging, and monitoring.
  • Collaborate with security and governance teams to enforce enterprise standards.

Requirements

  • Diploma or Degree in Information Technology, Computer Engineering, or related discipline.
  • Minimum 3+ years of experience in Cloud Engineering, Platform Engineering, DevOps, or
    Infrastructure Automation.
  • Hands-on experience with Terraform and Infrastructure as Code.
  • Strong experience designing and managing CI/CD pipelines.
  • Experience with Docker and Kubernetes.
  • Proficiency in at least one cloud platform: Azure or AWS
  • Experience with scripting languages such as Python, PowerShell, Bash, or Shell scripting.
  • Strong understanding of Git, version control, and software delivery best practices.
  • Experience supporting AI/ML platforms and MLOps environments.
  • Knowledge of LLMs, Generative AI
  • Experience with: Azure OpenAI Service, Azure Machine Learning, AWS Bedrock
  • Knowledge of monitoring and observability tools such as Prometheus, Grafana, Azure Monitor,
    Datadog, or Splunk.
  • AI, Cloud, Kubernetes, Terraform, or DevOps certifications are advantageous.
  • Well verse in DevOps, GitHub Action, GitLab CI/CD, Jenkins, Gits, Docker, Kubernetes


Shortlisted candidates will be offered a 1 Year Agency Contract employment.