Full Stack Development Specialist

1 week ago

Perth, Western Australia beBeeDeveloper Full time $150,000 - $180,000
Cloud & AI Full Stack Developer Job Opportunity

We are seeking a skilled Cloud and AI Full Stack Developer to play a crucial role in scaling our AI foundations.

Key Responsibilities:

  • Design and develop 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 and EventBridge.
  • Implement GenAI capabilities, including retrieval-augmented generation, prompt pipelines, embeddings, and vector search.
  • Create robust APIs with FastAPI or NestJS/Express, including authentication, rate limiting, pagination, and versioning.
  • Package and operationalise Python services and CLIs, standardising environments with Poetry 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.
  • 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.

Required Skills and Qualifications:

  • 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.
  • Hands-on AWS experience across core services, including IAM, VPC, API Gateway, Lambda, ECS/EKS, S3, RDS/Aurora, DynamoDB, CloudFront, and CloudWatch.
  • Proficiency with Python automation and orchestration using Step Functions, EventBridge, and Airflow/Dagster.
  • Practical exposure to LLMs and GenAI patterns, including embeddings, RAG, prompt design, evaluation, and cost control for inference-heavy workloads.

Benefits:

  • Opportunity to work with cutting-edge technologies and contribute to the development of AI solutions.
  • Collaborative and dynamic work environment with experienced professionals.
  • Professional growth and development opportunities.

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