DevOps Engineer
Summary
Designs and maintains cloud infrastructure and CI/CD pipelines for AI platforms using Terraform, Kubernetes, and Azure/AWS. Builds MLOps and GenAI deployment workflows with GitOps and DevSecOps practices.
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
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