Mid-Level Cloud & AI Engineer

NTT
Ho Chi Minh City
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3-5 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Operate and improve the cloud and engineering platform used to deliver AI and data services for Google Engineer business teams. Provision and support Google Cloud environments, including Vertex AI workspaces, pipelines, inference services, and deployment components. Build reliable CI/CD, automate operations with scripting, and package services with Docker and Kubernetes. Ensure observability, security, and change-control through Terraform, monitoring, and incident troubleshooting.

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FursaFursa
NTT
NTT
3 days ago

Mid-Level Cloud & AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live

Job Summary

Operate and improve the cloud and engineering platform used to deliver AI and data services for Google Engineer business teams. Provision and support Google Cloud environments, including Vertex AI workspaces, pipelines, inference services, and deployment components. Build reliable CI/CD, automate operations with scripting, and package services with Docker and Kubernetes. Ensure observability, security, and change-control through Terraform, monitoring, and incident troubleshooting.
Location: Ho Chi Minh City
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Provision, configure, and support Google Cloud environments for AI, data, and enterprise application workloads.
  • •Support Vertex AI workspaces, model and data pipelines, and batch or online inference services and deployments.
  • •Implement infrastructure as code and environment standards using Terraform or comparable tools.
  • •Build and maintain CI/CD pipelines and package/deploy services with Docker and Kubernetes, including release and rollback processes.
  • •Automate operational tasks using Python/Shell/SQL, implement monitoring/logging/alerting and basic cost controls, and troubleshoot infrastructure and pipeline issues.

Pay and Benefits

Perks:Social InsuranceHealth InsuranceAnnual BonusPaid LeaveLearning Budget

Key Requirements

  • •3–5 years of experience in cloud engineering, DevOps, infrastructure, platform engineering, data engineering, or a related role.
  • •Hands-on experience with Google Cloud Platform across core compute, storage, networking, IAM, monitoring, and deployment services.
  • •Working knowledge of Vertex AI or other managed AI/ML platforms and the operational needs of data or model pipelines.
  • •Practical experience with Linux, Docker, Kubernetes, CI/CD, source control, and infrastructure-as-code concepts.
  • •Scripting capability in Python or Shell Script and basic SQL for data and pipeline troubleshooting.
Experience:3-5 years
Education:Bachelor's in Computer Science, Information Technology, Engineering, or a related discipline
Skills:CommunicationCollaborationProblem-solving
Certifications:Google Associate Cloud EngineerProfessional Cloud DevOps Engineer
Languages:English
Tech Stack:Google Cloud PlatformVertex AITerraformCloud BuildGitHub ActionsGitLab CI/CDJenkinsCloud RunGKEBigQueryCloud StoragePub/SubArtifact RegistryIAMSecret ManagerCloud MonitoringDockerKubernetesPythonShell Script

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn