全职 DevOps Engineer (Ref 25832) 工作, 薪水 up to SGD 9,000, Jobline Resources Pte Ltd 公司招聘中 - Ricebowl

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