Transformational Cloud

2 days ago

Perth, Western Australia beBeeCloud Full time $120,000 - $160,000
Cloud & AI Full Stack Developer

As a key member of our AI team, you will be responsible for developing secure, reliable AI-powered applications from concept to production-grade products. You will work closely with cloud, cyber, IT, and product squads to design and deliver user-facing applications that integrate seamlessly with Python or Node.js backends running on AWS.

To succeed in this role, you should have experience in designing and delivering scalable, secure, and reliable software systems using cloud-based technologies. Your ability to collaborate with cross-functional teams, prioritize tasks, and manage multiple projects simultaneously will be essential.

Key Responsibilities:
  • Design and deliver user-facing applications that integrate seamlessly with Python or Node.js backends running on AWS.
  • 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.

As a highly motivated and collaborative individual, you will play a key role in shaping the future of AI at our company. We are committed to providing a dynamic and inclusive environment where you can grow and thrive.

What we're looking for:
  • Strong knowledge of cloud computing platforms, particularly AWS.
  • Experience with Python, Node.js, and related frameworks and libraries.
  • Familiarity with containerization using Docker and orchestration tools like Kubernetes.
  • Understanding of DevOps principles and practices, including continuous integration and delivery.
  • Experience with CI/CD pipelines, testing, and deployment strategies.
  • Knowledge of API design and implementation, including RESTful APIs and GraphQL.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

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