Cloud Solutions Architect

5 days ago

Perth, Western Australia beBeeSolutions Full time

A leading role is available for a Cloud Solutions Architect to design, deliver and maintain cloud-based solutions that meet our business objectives.

Key responsibilities include:

  • Design and deployment of cloud architecture using AWS services such as API Gateway, Lambda, ECS/EKS, and CloudFront;
  • Creation and maintenance of Python automation pipelines for data ingestion, feature computation, evaluation, and scheduled jobs using Step Functions, EventBridge, and Airflow or Dagster;
  • Implementation of GenAI capabilities including retrieval-augmented generation, prompt pipelines, embeddings, and vector search, with appropriate guardrails and redaction;
  • Development of robust APIs with FastAPI or NestJS/Express, including auth, rate limiting, pagination, and versioning, and instrumenting them with tracing and metrics;
  • Packaging and operationalisation of Python services and CLIs, standardising environments with Poetry/uv or pip-tools, Docker images, Makefiles, and reusable GitHub Actions workflows;
  • Definition and management of infrastructure as code with Terraform or CDK, codifying environments, networking (VPC, subnets, security groups), and least-privilege IAM;
  • Embedding observability from the start with OpenTelemetry, CloudWatch, Sentry, and structured logging, creating dashboards, runbooks, and alerts for uptime and performance;
  • Strengthening quality with unit/integration/end-to-end tests (Pytest, Jest, Playwright/Cypress), automated security checks, and pre-commit tooling;
  • Integration 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;
  • Optimisation for reliability, latency, and cost applying FinOps practices, right-sizing, caching (Redis/ElastiCache), and continuously profiling Python and front-end performance;

This role requires strong skills in React and TypeScript, solid backend engineering in Python or , and hands-on experience with AWS services. Proficiency in Python automation and orchestration, as well as practical exposure to LLMs and GenAI patterns, is also necessary. A track record of collaborative delivery in cross-functional squads is essential.

We are committed to providing a safe culture that builds respect, fosters inclusiveness, and values diversity. We celebrate individual strengths and encourage team members from all backgrounds to bring their whole selves to work.

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