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ASUS Linkedin · Posted yesterday

Cloud Controller - Principal Engineer

Taipei City

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Indexed description

【Job Responsibilities】

  • Cloud Infrastructure Architecture: Design and manage Azure cloud services including AKS, Event Hubs, API Management, and AD B2C for high availability and disaster recovery
  • Technical Leadership: Provide technical guidance across teams while driving cloud infrastructure best practices and DevOps culture
  • One of the following Responsibilities:
  • Multi-tenant System Design: Architect scalable multi-tenant platforms with robust user management, access control (RBAC/ABAC), and tenant isolation patterns
  • Event-Driven Architecture: Design and implement event-driven systems using message queues, microservice resilience patterns, and real-time data processing
  • Network Orchestration System: Build network automation and orchestration systems that manage distributed network infrastructure at scale
  • Build event-driven systems for real-time network orchestration and management


【Essential Requirements】

  • Experience: Minimum 9+ years of software engineering experience with demonstrated cloud architecture leadership
  • Cloud Expertise: Proven experience with Azure cloud infrastructure (AWS or GCP acceptable with willingness to learn Azure)
  • Container Orchestration: Hands-on experience with Kubernetes, Docker, and container cluster management
  • Programming: Proficiency in Go, Java, or Python with willingness to master Go for this role
  • SDLC: Deep understanding of software development lifecycle, testing, and cloud-native development practices


【Preferred Qualifications】

  • Azure Services: Direct experience with AKS, Event Hubs, API Management, AD B2C
  • Authentication: OAuth 2.0, JWT, mTLS implementation and identity management systems
  • Infrastructure as Code: Terraform, ARM templates, and automated infrastructure management
  • Network Management: Network controller, device management, or network orchestration experience
  • Resilience Patterns: Circuit breaker, rate limiting, retry mechanisms, and fault tolerance
  • Stream Processing: Real-time data handling, time-series databases, and analytics pipelines
  • Service Mesh: API gateway, load balancing, and distributed system monitoring
  • Disaster Recovery: High availability system design and business continuity planning
  • Multi-tenant Systems experience: Experience designing multi-tenant architectures OR user management/access control systems
  • Event-Driven Systems experience: Experience with message queue systems (Kafka, NATS) and event-driven architecture patterns
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