We are seeking a highly capable and hands-on Full Stack Engineer to help migrate and evolve a real-time AI-driven SaaS platform from SAS to AWS cloud infrastructure.
The platform processes large volumes of live and streaming data and supports analytics, optimisation, AI agents, forecasting, dashboards, and operational applications.
You will work closely with a small technical team consisting of AI engineers, domain engineers, and data analysts.
This is a highly collaborative role where you will help modernise, scale, and extend platform capabilities across frontend applications, backend APIs, cloud infrastructure, deployment pipelines, and operational systems.
This role is ideal for someone who enjoys ownership, solving complex engineering problems, and working across the full technology stack in a fast-moving environment.
Key Responsibilities SaaS Migration & Platform Modernisation
Lead and support migration of the existing SaaS platform to AWS
Refactor and modernise legacy platform components where required
Improve scalability, reliability, performance, and maintainability of the system
Help define architecture and deployment strategies for cloud-native services
Full Stack Development
Design, develop, and maintain frontend and backend components
Build responsive dashboards, operational tools, and analytics interfaces
Develop and maintain APIs and backend services
Integrate AI services, forecasting engines, optimisation systems, and real-time data pipelines
Collaborate closely with AI engineers and analysts to operationalise new capabilities
Cloud & Infrastructure
Maintain and operate AWS cloud infrastructure
Support CI/CD pipelines and deployment workflows
Implement Infrastructure as Code practices (Terraform preferred)
Support Docker and Kubernetes/EKS deployments where appropriate
Improve monitoring, logging, automation,



backup, and recovery processes
Engineering & Operational Support
Troubleshoot issues across frontend, backend, cloud, infrastructure, and deployment layers
Support development, staging, and production environments
Assist with deployment of analytics features, AI agents, dashboards, and operational applications
Help bridge frontend, backend, infrastructure, and data engineering requirements
Required Skills & Experience
Strong Full Stack engineering experience
Experience migrating or building SaaS platforms on AWS
Hands-on experience with:Frontend frameworks (React preferred)
Backend development (Python/FastAPI preferred)
AWS services (EC2, ECS/EKS, VPC, IAM, S3, RDS, CloudWatch)
REST APIs and modern web architectures
CI/CD pipelines and deployment automation
Docker and containerised services
Terraform or Infrastructure as Code tools
Solid Linux, scripting, and automation skills
Experience working in small technical teams
Ability to work independently and take technical ownership
At least 4 years of relevant experience
Highly Desirable Experience
Kubernetes/EKS
Real-time or streaming data systems
AI/ML or LLM deployment pipelines
Event-driven or microservice architectures
Observability stacks (Grafana, Prometheus, ELK/OpenSearch)
Experience supporting optimisation, forecasting, or simulation systems
Experience with data visualisation and operational dashboards
Ideal Candidate
You are practical, adaptable, and comfortable wearing multiple hats.
You enjoy working in small technical teams where collaboration and ownership matter more than rigid role boundaries.
You are equally comfortable building frontend applications, developing backend services, improving infrastructure, troubleshooting deployments, and helping operationalise AI-driven capabilities in production environments.
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📌 Full Stack Engineer (Melbourne)
🏢 The University Of Melbourne
📍 Melbourne