MLOps Cloud Engineer for AI Pipelines

MY20 EntServ Malaysia Sdn. Bhd.; Petaling Jaya; On-site; MYR 150,000 - 210,000; Full time

Benefits offered by this job

Flexible work model

Job summary

DXC Technology is seeking a seasoned DevOps/Platform Engineer to design, implement, and maintain scalable cloud infra for AI/ML deployments. You will build IaC pipelines with Terraform/CloudFormation, orchestrate containers with Kubernetes, and drive end-to-end MLOps lifecycle from training to deployment.

You will collaborate with AI engineers and data scientists, optimize costs, and ensure security and reliability in a fast-paced, in-person team environment with flexible work options.

Qualifications

• 5+ years of experience in DevOps, SRE, or platform engineering.
• Strong experience in MLOps and deployment of AI/ML solutions in production.
• Proficiency with cloud platforms (AWS, Azure, or GCP) and related AI services.
• Expertise in Infrastructure as Code (Terraform, CloudFormation, ARM templates).
• Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Helm).
• Strong CI/CD experience (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
• Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines).
• Proficiency in scripting and automation (Python, Bash).
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog).
• Knowledge of DevSecOps practices and security standards.
• Experience with secrets and configuration management (Vault, AWS Secrets Manager).

Responsibilities

• Design, implement, and maintain scalable, secure cloud infrastructure for AI/ML solutions.
• Build and manage Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Develop and maintain CI/CD pipelines for AI applications and model deployment.
• Support end-to-end MLOps lifecycle (training, versioning, deployment, monitoring).
• Automate deployments using best practices (blue/green, canary releases, rollback strategies).
• Configure monitoring, alerting, and observability for production systems.
• Optimize performance, scalability, and cost (compute, storage, GPU usage).
• Use AI tools to accelerate scripting, automation, and incident resolution.
• Troubleshoot production issues and ensure high system reliability and availability.
• Support developers and data scientists on DevOps tooling and best practices.
• Implement DevSecOps standards, including security, secrets management, and compliance.
• Maintain clear technical documentation for infrastructure and processes.

Skills

DevOps

SRE

MLOps

Cloud platforms

Terraform

Docker

CI/CD

Monitoring

Security

Tools

Terraform (IaC)

CloudFormation

ARM templates

Docker

Kubernetes

Helm

GitHub Actions

GitLab CI

Jenkins

Azure DevOps

MLflow

Kubeflow

Weights & Biases

SageMaker Pipelines

Job description

DXC Technology is seeking a seasoned DevOps/Platform Engineer to design, implement, and maintain scalable cloud infra for AI/ML deployments. You will build IaC pipelines with Terraform/CloudFormation, orchestrate containers with Kubernetes, and drive end-to-end MLOps lifecycle from training to deployment.

You will collaborate with AI engineers and data scientists, optimize costs, and ensure security and reliability in a fast-paced, in-person team environment with flexible work options.