Cloud Infrastructure Architect

1 day ago

Sydney, New South Wales, Australia beBeeEnterprise Full time $143,926 - $223,137
Cloud Infrastructure Architect

The role of Cloud Infrastructure Architect is to lead the design and delivery of enterprise-grade Azure platforms. This includes collaborating with AI and ML Engineers to enable agentic AI development.

Key Responsibilities include:

  • Design and maintain Azure cloud infrastructure, with occasional AWS integration.
  • Build backend services and automation pipelines to support platform operations.
  • Integrate with and support .NET-based applications across the team's ecosystem.
  • Partner with ML Engineers to support model training, deployment, and observability.
  • Implement monitoring and observability using pro-code, low-code, or no-code tools.
  • Identify and deliver automation opportunities across infrastructure and development pipelines.
  • Ensure platform reliability, security, and compliance aligned with Group risk appetite.
  • Collaborate with a Product Owner based in India (flexibility across time zones is essential).
  • Optimise performance and scalability through cloud architecture best practices.

As a Cloud Infrastructure Architect, you'll work on building the platform foundations that enable innovations in AI capabilities.

With a strong emphasis on backend engineering, cloud-native development, and integration with modern AI frameworks, the crew are driving innovation aligned with enterprise risk and strategy in a rapidly evolving technology landscape.

Requirements

This role is ideal for a senior-level cloud engineer with deep infrastructure development experience, demonstrable exposure and a passion for building scalable systems that developers and ML engineers love, and a commitment to delivering and influencing the delivery of best practice engineering solutions.

To this role, the ideal applicant will bring:

  • Proven expertise in Azure platform development, including cloud-native infrastructure and associated services.
  • Experience integrating with .NET applications, with a strong understanding of their architecture and runtime behaviour.
  • Working knowledge of AI and Agentic AI principles, either through direct development or collaboration with AI teams.
  • Skilled in identifying and executing automation opportunities to drive efficiency and scalability.
  • Exposure to monitoring and observability stacks (e.g., Azure Monitor, Grafana, Prometheus).
  • Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and Infrastructure as Code (Terraform, ARM templates).
  • Familiarity with Power Platform and Copilot Studio, or a strong interest in learning and integrating them.
  • A disciplined approach to engineering in regulated environments, balancing innovation with compliance.
  • Strong communication skills and a track record of mentoring and influencing engineering best practices.

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