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DXC Technology

Global IT services for enterprise modernization

AI Developer Operations Engineer - MLOps & Cloud

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePetaling Jaya, Selangor, MalaysiaNo salary listed

About the Job

Requirements

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

Responsibilities

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

Desired Qualifications

  • Experience optimizing AI workloads using GPUs.
  • Ability to diagnose and resolve issues using AI-assisted tools.

About the Company

DXC Technology

Global IT services for enterprise modernization

DXC Technology provides IT services to large enterprises, helping them manage and modernize mission-critical systems. It offers consulting, system integration, and managed services that are typically delivered under long-term contracts. The core offering is the Enterprise Technology Stack, which modernizes IT infrastructure, optimizes data architectures, and ensures security and scalability across public, private, and hybrid cloud environments. By applying this stack, DXC helps clients run reliable and scalable IT operations while migrating workloads to the cloud and strengthening data governance. The company differentiates itself with a global reach, a large Fortune 500 client base, and a track record of long-term partnerships, coupled with commitments to sustainability and corporate responsibility. The goal is to be a trusted partner that enables enterprises to operate, secure, and evolve their IT environments efficiently and effectively.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
2017

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