ABOUT US

Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

QUALIFICATIONS AND EXPERIENCE

• Strong React and TypeScript skills including component architecture, state management, API integration, accessibility and testing
• Solid backend engineering in Python (FastAPI preferred) or Node.js (NestJS/Express), with experience building scalable APIs and background workers/queues (SQS, SNS)
• Hands-on AWS experience across core services including IAM, VPC, API Gateway, Lambda, ECS/EKS, S3, RDS/Aurora or DynamoDB, CloudFront and CloudWatch; familiarity with Bedrock is a plus
• Proficiency with Python automation and orchestration using Step Functions, EventBridge and Airflow/Dagster, including dependency management and packaging
• Practical exposure to LLMs and GenAI patterns such as embeddings, RAG, prompt design, evaluation and cost control for inference-heavy workloads
• Discipline in CI/CD with GitHub Actions, infrastructure as code with Terraform/CDK, automated testing, code review and secure SDLC practices
• Strong SQL skills and experience with streaming and eventing (Kinesis/MSK), ETL/ELT and data modeling for analytics and ML use cases
• Track record of collaborative delivery in cross-functional squads, breaking down work, estimating and shipping iteratively.

• Design and deliver user-facing apps that integrate seamlessly with Python or Node.js backends running on AWS (API Gateway, Lambda, ECS/EKS, CloudFront)
• Build and maintain Python automation pipelines for data ingestion, feature computation, evaluation, and scheduled jobs using Step Functions, EventBridge and workflow orchestrators such as Airflow or Dagster
• Implement GenAI capabilities including retrieval-augmented generation, prompt pipelines, embeddings and vector search, with appropriate guardrails and redaction
• Create robust APIs with FastAPI or NestJS/Express, including auth, rate limiting, pagination and versioning, and instrument them with tracing and metrics
• Package and operationalise Python services and CLIs, standardising environments with Poetry/uv or pip-tools, Docker images, Makefiles and reusable GitHub Actions workflows
• Define and manage infrastructure as code with Terraform or CDK, codifying environments, networking (VPC, subnets, security groups) and least-privilege IAM
• Embed observability from the start with OpenTelemetry, CloudWatch, Sentry and structured logging; create dashboards, runbooks and alerts for uptime and performance
• Strengthen quality with unit/integration/end-to-end tests (Pytest, Jest, Playwright/Cypress), automated security checks, and pre-commit tooling
• Integrate securely with internal and third-party systems using Cognito/OIDC, KMS, Secrets Manager and encrypted data storage patterns aligned to Cyber controls and data residency
• Optimise for reliability, latency and cost, applying FinOps practices, right-sizing and caching (Redis/ElastiCache) and continuously profiling Python and front-end performance