Cloud Resource Security and Operations Engineer

Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.

Shanghai, China
About MiniMax Group Inc.

MiniMax develops proprietary multimodal foundation models spanning language, video, speech, and music, and operates AI-native products including MiniMax Agent, MiniMax Design, MiniMax Audio, Talkie, Hailuo AI, and an Open Platform.

View jobs by MiniMax Group Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will turn cloud-security requirements into resource-request rules, configuration baselines, inspections, and remediation workflows. You will support business cloud-resource needs, manage the lifecycle and governance of multi-cloud assets, and build AI-agent-assisted workflows for operations. You will also establish approval, audit, validation, and rollback controls for automated actions.

Requirements

  • Know at least one mainstream cloud platform and common cloud-product use cases
  • Understand cloud accounts, IAM, networking, and storage
  • Understand common cloud-security risks and implement security requirements through configuration standards, process checks, and remediation
  • Translate business needs into clear cloud-resource delivery plans
  • Use APIs, Shell, Python, or similar tools to integrate cloud-resource and operations data
  • Understand least privilege, approval auditing, change validation, and rollback
  • Identify inaccurate AI outputs and unverified recommendations before production use
  • Communicate and collaborate effectively across teams

Responsibilities

  • Translate cloud-security requirements into resource-request rules, configuration baselines, checks, and remediation workflows
  • Track remediation owners, progress, and verification results
  • Gather business requirements for compute, storage, databases, networks, and other cloud products
  • Standardize cloud-resource request, assessment, provisioning, change, and recovery processes
  • Build AI-agent-assisted workflows for demand classification, resource recommendations, security checks, anomaly detection, remediation follow-up, and operational reporting
  • Manage multi-cloud resource tags, ownership, permissions, quotas, and lifecycles
  • Identify unowned, idle, anomalous, and cost-changing resources and implement governance plans
  • Design permission boundaries, approvals, audit trails, change validation, and rollback mechanisms for automation