AI Platform DevOps Engineer

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

United States Digital Space LLC seeks an experienced DevOps Engineer to design, build, and maintain scalable AI platforms supporting enterprise AI, ML, and Generative AI initiatives.

You’ll work with cloud architects, infra teams, and developers to deliver secure, scalable AI platforms with automation, GitOps, and robust monitoring. Strong Terraform, Kubernetes, and CI/CD skills are essential.

Qualifications

• Diploma or degree in IT/-CS/CE required.
• At least 3 years in DevOps, cloud or infrastructure automation.
• Hands-on with Terraform IaC and CI/CD pipelines.
• Strong Docker and Kubernetes experience.
• Azure and/or AWS cloud proficiency.
• Scripting in Python, PowerShell, Bash, or Shell.
• Git/version control and DevOps best practices.
• Experience with AI/ML platforms or Generative AI workloads is a plus.
• Familiarity with Azure OpenAI, Azure ML, AWS Bedrock is advantageous.
• Experience with monitoring tools (Prometheus, Grafana, Datadog, Splunk, Azure Monitor).

Responsibilities

• Design, implement, and manage cloud infrastructure with Terraform and IaC.
• Build AI platform environments across Azure and AWS.
• Develop and optimize CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins).
• Automate deployments using DevOps and GitOps practices.
• Support AI/ML and Generative AI workloads (deployment, monitoring, lifecycle).
• Manage containerized environments with Docker and Kubernetes.
• Implement monitoring, logging, observability, security, and governance.
• Support MLOps capabilities including model deployment and versioning.
• Collaborate with engineering, security, and architecture teams to improve reliability.
• Troubleshoot infrastructure, performance, security, and platform issues.

Skills

Cloud engineering

DevOps experience

CI/CD pipelines

MLOps familiarity

Python scripting

Git versioning

Security governance basics

AI platform operations

Education

Diploma or Degree in IT / CS / CE

Tools

Terraform

Azure

AWS

Docker

Kubernetes

Azure DevOps

GitHub Actions

GitLab CI

Jenkins

Prometheus

Grafana

Datadog

Splunk

Azure Monitor

Job description

United States Digital Space LLC seeks an experienced DevOps Engineer to design, build, and maintain scalable AI platforms supporting enterprise AI, ML, and Generative AI initiatives.

You’ll work with cloud architects, infra teams, and developers to deliver secure, scalable AI platforms with automation, GitOps, and robust monitoring. Strong Terraform, Kubernetes, and CI/CD skills are essential.