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