Full-Stack Architect

Role & responsibilities

Role Overview

We are seeking a highly experienced L4 Full-Stack Architect with 8-10+ years of expertise to lead the technical vision and delivery of a greenfield B2B2C mobile application. You will take complete ownership of the end-to-end mobile application architecture, bridging a React Native frontend with secure, scalable FastAPI microservices and AlloyDB on Google Cloud.

Key Responsibilities

• Design and govern the overarching mobile app architecture, microservices patterns, and high-performance API designs.
• Architect the end-to-end cashback attribution loop, ensuring seamless integration between affiliate marketing networks (e.g., Rakuten, Commission Junction), the internal reward ledger, and Telco BSS (Billing Support Systems like Optiva).
• Design and govern the dual-directional data loop between the operational application layers and internal BigQuery (Customer 360) and Vertex AI (Recommendation Engine) platforms including patterns for depending on APIs owned and versioned by Tredence's Data Science/Data Engineering teams, ensuring low-latency delivery of AI-driven personalization.
• Bridge a hybrid React Native frontend with secure, serverless backend microservices deployed on GCP (Cloud Run).
• Enforce robust security protocols, including OAuth2, OpenID Connect (OIDC), and secure end-to-end data encryption.
• Architect the data access layers leveraging both Cloud Firestore (for real-time UX caching) and AlloyDB for PostgreSQL (for enterprise transactional consistency).
• Architect advanced data synchronization patterns (e.g., CQRS, dual-write) to ensure consistency between the operational AlloyDB database and the analytical BigQuery platform.
• Enforce stateless, 12-factor service design (externalized config, no local disk state, portable service-to-service auth) so that the platform's confirmed Cloud Run (serverless) compute strategy can scale to high traffic volumes without rework, and could be re-platformed to GKE later with infrastructure-only changes if a future non-scale requirement (e.g., long-lived connections, custom scheduling) warrants it.

Required Skills & Experience

• Proven track record as a Technical Architect with deep experience in mobile application architecture and enterprise microservices design.
• Strong proficiency in React Native and Python (FastAPI).
• Demonstrated experience designing high-performance architectures that interface with large-scale data warehouses (BigQuery/Snowflake) and Machine Learning/AI serving endpoints (Vertex AI/SageMaker), particularly where those endpoints are owned by a separate internal data team.
• Solid understanding of database systems, particularly fully-managed Google Cloud relational databases (AlloyDB/PostgreSQL).
• Expertise in secure API design, token-based authentication, and modern API Gateway management.
• Deep understanding of distributed systems patterns, including event-driven architectures and Command Query Responsibility Segregation (CQRS).