DevOps Engineer

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Description

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

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