Full Stack Engineer, 1X

• This role requires someone who can context-switch between backend services, frontend applications, data architecture, and security implementation
• 5+ years of software engineering experience spanning backend and frontend development
• Strong proficiency in Python (FastAPI, SQLAlchemy) and TypeScript (React, Next.js)
• Experience with cloud platforms (GCP preferred): Cloud Run, Cloud SQL, Pub/Sub, BigQuery
• Solid understanding of database design: relational modeling, time-series databases, query optimization
• Experience with real-time systems: WebSockets, message queues, or streaming pipelines
• Understanding of authentication and authorization: OAuth 2.0, JWT, RBAC implementation
• Experience with infrastructure-as-code (Terraform) and CI/CD pipelines
• Ability to work independently and own projects end-to-end

Desirable

• Our Manufacturing Data Platform is the backbone of robot traceability - capturing every component, calibration, and telemetry reading from factory birth through the entire product lifecycle
• We need a versatile engineer who can own this platform end-to-end
• As a Full Stack Engineer on the Manufacturing Data Platform, you will be the technical backbone of our Industrial Data Platform (IDP) - owning everything from edge data ingestion to cloud APIs to technician-facing applications
• You'll design database schemas, build real-time telemetry pipelines, implement secure authentication, and create intuitive interfaces for factory technicians and end users
• This role is ideal for engineers who thrive on ownership and breadth - you'll touch every layer of the stack and see your work directly impact robot manufacturing quality
• Backend Development
• Design and build RESTful APIs and WebSocket services using FastAPI on GCP Cloud Run
• Implement recording mode orchestration: trigger self-checks, capture telemetry, manage session lifecycle
• Build configuration push/pull APIs with version control and rollback capability
• Create data pipelines for high-frequency telemetry ingestion (200Hz, 350KB/s per robot)
• Frontend Development
• Build Progressive Web App (PWA) for factory technicians: QR scanning, robot diagnostics, recording controls
• Create admin dashboards for fleet management, user administration, and audit log viewing
• Implement real-time telemetry visualization with WebSocket integration (<500ms latency)
• Design mobile-first interfaces optimized for factory floor use (large touch targets, high contrast)
• Data Architecture
• Design and optimize database schemas: Cloud SQL (PostgreSQL) for relational data, Bigtable for time-series telemetry
• Architect data storage strategy: immutable data (OTP), versioned calibration (EEPROM sync), time-series streaming
• Build the robot genealogy system linking components, calibration, and manufacturing events
• Implement data lifecycle management from EOL Data Fusion Station through product lifecycle
• Security & Infrastructure
• Implement OAuth 2.0 authentication using Google Identity Platform
• Design and enforce Role-Based Access Control (RBAC): Viewer, Technician, Engineer, Admin, End User
• Configure TLS/mTLS for edge-to-cloud communication
• Build comprehensive audit logging for compliance and traceability
• Manage infrastructure using Terraform and CI/CD pipelines with Cloud Build
• Integration & Edge
• Integrate with MQTT Sparkplug B for edge gateway communication via EMQX broker
• Design store-and-forward patterns for offline data buffering on edge gateways
• Build synchronization logic between local robot storage (EEPROM) and cloud databases
• Collaborate with Robot OS teams on telemetry schemas and command protocols