DevOps Engineer (Ref 25832)

Visa Hunt; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Visa Hunt seeks an experienced Cloud/Platform Engineer to design, implement, and maintain cloud infrastructure using Terraform and IaC. You will build AI platform environments on Azure and AWS, develop reusable modules, and drive automation for scalable, reliable operations.

The role covers CI/CD design with Jet DevOps tools, GitOps, DevSecOps, and AI/ML lifecycle management, including MLOps, deployment, monitoring, and governance.

Qualifications

• Diploma or degree in Information Technology, Computer Engineering, or related discipline.
• Min 3+ years in Cloud/Platform/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 scripting languages: Python, PowerShell, Bash, or shell scripting.
• Strong Git/version control and software delivery practices.
• Experience with AI/ML platforms and MLOps environments.
• Knowledge of LLMs/Generative AI and related services.
• Experience with Azure/OpenAI Service, Azure ML, AWS Bedrock.
• Monitoring/observability tools like Prometheus, Grafana, Datadog, Splunk.
• Certifications in AI/Cloud/Kubernetes/DevOps are advantageous.

Responsibilities

• Design, implement, and maintain cloud infrastructure using Terraform and IaC principles.
• Build and manage AI platform environments across Azure and AWS.
• Develop reusable Terraform modules and infrastructure standards.
• Implement infrastructure automation to improve scalability and reliability.
• Design and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, or Jenkins.
• Automate build, test, deployment, and release processes for AI 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 deployment, versioning, monitoring, and governance.
• Enable integration with AI services such as Azure OpenAI, OpenAI, 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.

Skills

Terraform

CI/CD pipelines

Docker

Kubernetes

Python

PowerShell

Bash

Shell scripting

Git

GitHub Actions

GitLab CI

Jenkins

Azure

AWS

DevOps

MLOps

LLMs

Education

Diploma/Degree in Information Technology or Computer Engineering

Tools

Terraform

Azure DevOps

GitHub Actions

GitLab CI

Jenkins

Docker

Kubernetes

Prometheus/Grafana

Job description

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