Our client, leading name in the education sector, is seeking a Solutions Architect to provide high-level architectural leadership for the design, scalability, and implementation of an advanced video analytics SaaS platform. This role offers flexibility, operating at approximately 12 hours per week over two years, making it ideal for candidates with proven expertise in cloud-native architectures and SaaS commercialisation.

What You'll Be Doing:

As the Solutions Architect, you will define the technical vision, preferred technology stack, and system architecture to scale and commercialise the platform. You will collaborate with full-stack developers, UI/UX specialists, ML/AI researchers, and industry engineers, ensuring secure, scalable, and efficient delivery.

You will also provide strategic advice on cloud platform choices, GPU provisioning, multi-tenant infrastructure, and cost optimisation strategies.

• 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.

What You'll Bring:

Essential

• Degree in Computer Science, Engineering, or equivalent commercial experience.
• 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 (e.g., Kubernetes with NVIDIA support).
• Knowledge of scalable architectures for burst processing and distributed systems.
• Excellent interpersonal and communication skills.

Desirable

• Experience with GPU-accelerated real-time video processing and edge computing.
• Background in commercialising SaaS products, ideally in a startup environment.
• Knowledge of MLOps tools (e.g., KServe, Triton, MLflow, Kubeflow).

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Nicole Oo via email: noo@paxus.com.au and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.