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Perth, Western Australia beBeeArchitect Full time $85,000 - $100,000
Cloud Architect Opportunity

Paxus is seeking a skilled Cloud Architect to lead the design and implementation of an advanced video analytics SaaS platform.

This role offers flexibility, operating at approximately 12 hours per week over two years.

The ideal candidate will have proven expertise in cloud-native architectures and SaaS commercialisation, as well as strong understanding of DevOps, MLOps, CI/CD pipelines, GPU orchestration, and containerisation.

  • Design and document a secure, scalable cloud architecture capable of processing 1,000+ hours of video daily from varied sources and environments.
  • Define multi-tenant infrastructure, data pipelines, and security approaches for GPU-accelerated workloads with surge processing capability.
  • Provide recommendations on languages, frameworks, cloud services, and toolchains for video analytics SaaS scalability.
  • Oversee architecture design reviews and guide product milestones.
  • Develop cloud resource management strategies and advise on monetisation models.
  • Contribute to cloud migration strategies and validate infrastructure decisions.
  • Define infrastructure and DevOps principles for continuous delivery and horizontal scaling.
  • Implement CI/CD and MLOps workflows for media processing, including blue-green deployments and Infrastructure-as-Code.
  • Establish monitoring and observability practices tailored to GPU workloads.
  • Mentor engineering teams in cloud-native and scalable system practices.

Key Deliverables:

  • System architecture blueprint and technical stack recommendations.
  • Cloud infrastructure design and cost analysis documentation.
  • Security, scaling, and monitoring strategies.
  • CI/CD and MLOps pipeline architecture for video analytics.
  • Regular architecture review sessions and technical advisory reports.
Requirements
  • 5+ years in cloud architecture for SaaS platforms.
  • Proven experience designing and scaling secure, multi-tenant systems on AWS, Azure, or Google Cloud.
  • Strong understanding of DevOps, MLOps, CI/CD pipelines, GPU orchestration, and containerisation.
  • Knowledge of scalable architectures for burst processing and distributed systems.
  • Excellent interpersonal and communication skills.