AI DevOps Engineer — Cloud, MLOps & CI/CD

dxctechnology; Petaling Jaya; On-site; MYR 180,000 - 260,000; Full time

Job summary

DXC Technology in Malaysia is seeking a Senior DevOps/Platform Engineer to design, deploy, and maintain scalable cloud infrastructure for AI/ML workloads. You will build IaC, manage CI/CD pipelines, and support MLOps lifecycle in production.

You will work with AI engineers and data scientists, using Terraform, Docker, Kubernetes, and cloud services across AWS, Azure, or GCP. English proficiency required; in-person collaboration with flexibility.

Qualifications

• 5+ years in DevOps, SRE or platform engineering.
• Strong MLOps deployment experience in production.
• Proficient with AWS, Azure or GCP and related AI services.
• IaC expertise with Terraform and CloudFormation.
• Hands-on with Docker, Kubernetes and CI/CD tooling.
• Familiar with security and compliance best practices.
• Collaborates effectively in agile teams.

Responsibilities

• Design, implement, and maintain scalable cloud infra for AI/ML.
• Develop and maintain CI/CD pipelines for AI apps and models.
• Support end-to-end MLOps lifecycle (training, deployment, monitoring).
• Automate deployments with blue/green, canary, and rollback.
• Configure monitoring, alerting, and observability for production.
• Optimize performance, scalability, and cost of resources.
• Maintain clear documentation for infra and processes.

Skills

Cloud platforms

MLOps deployment

CI/CD pipelines

Python scripting

Monitoring & observability

Security best practices

Collaboration

Tools

Terraform

CloudFormation

Docker

Kubernetes

Helm

GitHub Actions

SageMaker Pipelines

Job description

DXC Technology in Malaysia is seeking a Senior DevOps/Platform Engineer to design, deploy, and maintain scalable cloud infrastructure for AI/ML workloads. You will build IaC, manage CI/CD pipelines, and support MLOps lifecycle in production.

You will work with AI engineers and data scientists, using Terraform, Docker, Kubernetes, and cloud services across AWS, Azure, or GCP. English proficiency required; in-person collaboration with flexibility.