Senior DevOps & Cloud Architect (AWS), Contract

The University of Melbourne
Carlton VIC 3053Full time

Listed 9 Jan 2026

We are seeking a senior DevOps Engineer with strong Cloud Architecture capability to lead the design and migration of an existing, data-intensive SaaS platform to AWS.

This role is not a pure DevOps operations position. You will take end-to-end ownership of:

  1. Designing the target AWS architecture
  2. Translating current systems and live data pipelines into a scalable, secure, multi-jurisdiction AWS environment
  3. Leading the migration, documentation, handover, and onboarding process

The platform processes large volumes of live and streaming data, supports advanced analytics and AI workloads, and must meet enterprise-grade reliability, security, and compliance requirements.

Key Responsibilities

  1. Design the AWS target architecture for a live SaaS platform, including:
  2. Multi-account and multi-jurisdiction setups
  3. Security, IAM, networking, and data governance
  4. Scalability, resilience, and cost optimisation
  5. Assess the current system architecture and define a clear migration roadmap.
  6. Lead and execute the migration to AWS, minimising disruption to live data pipelines.
  7. Design and implement CI/CD, IaC, and deployment automation (e.g. Terraform, CloudFormation).
  8. Deploy and operate data-intensive services, including time-series databases, graph databases, and AI/ML inference pipelines.
  9. Containerise and orchestrate workloads using Docker and Kubernetes where appropriate.
  10. Establish monitoring, logging, and observability for production systems.
  11. Produce clear technical documentation, and support onboarding, training, and handover to internal teams.

Required Skills & Experience

  1. Strong DevOps AND Cloud Architecture experience (you must have both).
  2. Proven experience designing and migrating SaaS platforms to AWS.
  3. Hands-on expertise with:
  4. AWS core services (VPC, IAM, EC2, ECS/EKS, S3, RDS, networking, security)
  5. Infrastructure as Code (Terraform preferred)
  6. CI/CD pipelines
  7. Experience operating data-intensive and live systems.
  8. Strong containerisation and orchestration skills (Docker, Kubernetes).
  9. Solid scripting and automation skills (Python preferred).
  10. Ability to work independently and make architecture decisions.

Experience with the Following Is Highly Desirable

  1. Time-series databases (e.g. InfluxDB)
  2. Graph databases (e.g. Neo4j)
  3. AI / ML or LLM-based systems (deployment, inference, APIs)
  4. FastAPI or similar model-serving frameworks
  5. Multi-region or multi-jurisdiction cloud deployments

This Role Is NOT for You If

  1. You are early-career or primarily an ops/support DevOps engineer
  2. You have not designed AWS architectures end-to-end
  3. You are looking for a long-term operational role rather than a delivery-focused contract