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WPP Media

AI-native global media services network

DevOps Manager

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeWuxi, Jiangsu, ChinaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in DevOps, platform engineering, site reliability engineering, cloud infrastructure, or a related discipline.
  • Strong hands-on experience with AWS China, including services available in China regions and operational differences from global AWS.
  • Deep experience with Docker and containerised application environments.
  • Strong hands-on experience with Kubernetes, including cluster design, deployment, scaling, security, monitoring, and production operations.
  • Experience building and operating CI/CD pipelines for applications, infrastructure, data, and AI workloads.
  • Strong knowledge of infrastructure as code, cloud networking, Linux, scripting, configuration management, and automation.
  • Experience operating enterprise applications and distributed systems in production.
  • Strong knowledge of observability, resilience, incident management, security, backup, and disaster recovery.
  • Practical understanding of identity and access management, secrets management, vulnerability management, and secure software delivery.
  • Familiarity with China cloud, network, cybersecurity, regulatory, and data-residency requirements.
  • A bachelor's degree or above in Computer Science, Information Technology, Software Engineering, Network Engineering, Cloud Computing, or a related discipline.
  • Equivalent practical experience will also be considered.

Responsibilities

  • Lead the design, implementation, and operation of cloud infrastructure supporting WPP Media’s technology platforms in China.
  • Build secure and scalable environments for applications, APIs, data workloads, AI models, agentic workflows, and digital asset processing.
  • Support deployment across AWS China and other local cloud environments while maintaining alignment with global architecture and engineering standards.
  • Manage operational differences between AWS China and global AWS, including service availability, connectivity, accounts, billing, and compliance.
  • Build and operate containerised application environments using Docker.
  • Design, deploy, secure, and manage Kubernetes clusters for production workloads.
  • Establish standards for container images, registries, deployment patterns, networking, scaling, secrets management, and lifecycle management.
  • Build and maintain CI/CD pipelines for application, infrastructure, data, and AI deployments.
  • Implement infrastructure as code, configuration management, automated testing, security checks, approvals, rollback, and release-management processes.
  • Build and operate infrastructure supporting text, image, video, audio, multimodal, and agentic AI workloads.
  • Support model access, routing, scaling, monitoring, and cost management.
  • Establish monitoring, logging, tracing, alerting, incident-management, backup, and disaster-recovery standards.
  • Define operational health metrics and improve reliability through capacity planning, resilience testing, and root-cause analysis.
  • Embed security through identity and access management, secrets management, encryption, network controls, vulnerability management, and audit logging.
  • Support China cybersecurity, data-residency, network, and regulatory requirements.
  • Create reliable approaches for synchronising global and China engineering environments.
  • Improve developer experience through self-service tooling, documentation, templates, reusable modules, and operational runbooks.
  • Monitor and optimise cloud, storage, network, model, token, and processing costs.
  • Manage infrastructure and cloud partners while maintaining strong internal ownership.

Desired Qualifications

  • Experience supporting AI, machine learning, data engineering, or high-compute workloads.
  • Experience working across global and China-based engineering environments.
  • Relevant AWS, Kubernetes, security, or DevOps certifications.
  • Fluent Mandarin and strong professional English.

About the Company

WPP Media

AI-native global media services network

WPP Media is a global media services arm that manages more than $60 billion in annual advertising investments for leading brands. It operates across a network of established agencies (Mindshare, Wavemaker, EssenceMediacom) and combines media planning, data, production, and commerce through its proprietary WPP Open platform. Its Open Intelligence data model uses real-time behavioral signals to drive predictive, faster, and smarter marketing campaigns. The company positions itself as an AI-native media collective, consolidating capabilities under a single technology stack to improve efficiency and scale for advertisers. Its goal is to help clients buy and optimize media more effectively by leveraging integrated data, advanced analytics, and automated execution at scale.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2003

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