Full Stack Engineer

You will be the lead Full-stack Developer responsible for building our internal data platform portal and the underlying integration layers. Your goal is to abstract the complexity of our data infrastructure (GCP, BigQuery, dbt, and Airflow/Composer) behind a clean, component-based UI and robust APIs, enabling self-service provisioning and seamless platform workflows for technical users.

The core responsibilities for the job include the following:

Frontend and UI/UX Development:

• Component-Based UI: Architect and build a modular, reusable component library for our internal developer portal and admin consoles.
• UX for Technical Users: Design intuitive interfaces tailored for data professionals, focusing on clarity, speed, and reducing friction in complex workflows.
• Platform Workflows: Build front-end experiences for self-service infrastructure provisioning, code templates, and dynamic documentation sites.
• Instrumentation and Analytics: Embed telemetry within the UI to track user adoption and feature usage and identify workflow bottlenecks.

Backend and Integration Engineering:

• API Development: Design and develop highly scalable backend services and REST/gRPC APIs to power the frontend portal.
• Platform Connectors: Build the integration layers that enable secure, reliable communication between disparate platform components, specifically Cloud Composer (Airflow), Dataplex, BigQuery, and dbt.
• Auth and Security: Implement strict authentication and authorisation flows (e. g., OAuth, OIDC, and RBAC integration) across both the UI and API layers.
• Reliability: Ensure the high availability, scalability, and performance of all internal platform services.

Requirements:

• Experience: Minimum 5+ years of full-stack engineering, with a proven track record of building internal platforms, developer portals, or enterprise admin consoles.
• Frontend Mastery: Deep expertise in modern JS frameworks (React, Vue, or Angular) with a strong emphasis on component abstraction and state management.
• Backend Expertise: Strong backend language skills (Python, Node.js, Go, or Java) with expertise in building robust RESTful and gRPC services.
• Data Ecosystem Familiarity: While you don't need to be a data engineer, you must understand how data tools interact. Prior exposure to integrating with GCP services (BigQuery, Dataplex), orchestration tools (Composer/Airflow), and transformation engines (dbt) is critical.
• System Design: Ability to design decoupled architectures where the UI interacts seamlessly with microservices and cloud-native APIs.