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Location
Melbourne
Work Site
Hybrid
Employment Type
Full-Time
Closing Date
17 Dec, 2025

Platform Architect


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Overview

We are seeking a highly experienced and strategic Platform Architect to partner with our clients, guiding them in the design and evolution of their internal development platforms. You will be responsible for assessing a client’s unique technical landscape and business needs to architect a cohesive, scalable, and secure platform.

This role requires a blend of deep technical expertise, exceptional communication skills, and the ability to deliver high-impact, actionable roadmaps. A key part of your work will involve advising clients on how to leverage modern technologies, including AI, to build intelligent and autonomous platforms.


Required Qualifications

  • Experience: Minimum of 7+ years in a senior technical role, with at least 3 years in a platform architecture or technical consulting position.
  • Cloud Expertise: Deep expertise in at least one major cloud platform (AWS, Azure, or GCP), with a strong understanding of core services and hybrid cloud architectures.
  • Containerisation & Orchestration: Extensive experience with Kubernetes and containerisation technologies like Docker or Podman.
  • DevOps & Automation: Proven experience with CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform or Ansible.
  • AI Exposure: A foundational understanding of AI and Machine Learning concepts, including the MLOps lifecycle, model deployment, and the use of large language models (LLMs).
  • Communication & Client-Facing Skills: Exceptional verbal and written communication skills with a proven ability to present complex technical topics to both technical and executive audiences.
  • Leadership: A track record of leading and influencing technical teams.

Preferred Qualifications

  • Professional certifications from a major cloud provider (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
  • Experience with GitOps principles and tools like Argo CD or Flux.
  • Hands-on experience with MLOps platforms (Kubeflow, MLflow) or cloud-native AI services.
  • Experience with virtualization technologies, including VMware, KVM, and KubeVirt.
  • A background in software development and experience with multiple programming languages.
  • Prior experience in a consulting firm or a client-facing technical role.

Key Responsibilities

  1. Client Engagement & Assessment: Lead discovery sessions to understand a client’s current state, business goals, and technical challenges, performing comprehensive assessments.
  2. Architectural Strategy: Design and define the architectural roadmap for a client’s development platform, creating detailed blueprints and technology recommendations.
  3. Advisory & Implementation Guidance: Serve as a trusted advisor to clients and their engineering teams, providing expert guidance on platform implementation.
  4. Advanced Technology Integration: Advise clients on integrating AI services and identify opportunities to leverage AI for platform-level automation and optimization.
  5. Documentation & Knowledge Transfer: Deliver high-quality documentation of findings and architectural designs, and lead workshops to empower client teams.

Work Site & Employment Details

DetailValue
Role TypeIndividual Contributor
ProfessionSoftware Engineering / DevOps
Employment TypeFull-Time
Work SiteHybrid

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