DevOps Engineer (Ref 25832)

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

Licence no: 12C6060

Pay: Up to $9,000.00 per month

Work Location: In person