Senior Back-End/Cloud Engineer

ABOUT PROJECT

A dynamic wellness tech venture offering innovative tools to support proactive health management. Its primary product is a smart scale equipped with cutting-edge BIA technology, delivering precise data on key body metrics such as fat percentage, lean mass, and hydration. By merging advanced engineering with a seamless digital experience, it empowers users to make informed decisions about their health.
 

TECH STACK

Node.js/Python, GCP, RESTful API
 

TEAM COMPOSITION

4 mobile engineers, 1 Full-stack engineer, 1 designer, and 2 QAs from our side
 

PROJECT STAGE

Live
 

QUALIFICATIONS AND SKILLS

REQUIREMENTS:

• 4+ years of experience building production APIs
• Strong proficiency in Node.js and Python
• Experience with Google Cloud Platform
• Understanding of RESTful API design principles
• Experience with healthcare or sensitive data APIs
• Strong debugging and testing skills

NICE TO HAVE:

• Previous experience with Firestore and GCP APIs
• Healthcare API development experience
• Experience integrating with AI/ML services
• Knowledge of API security best practices
• Understanding of healthcare data requirements
   

REQUIRED TECHNICAL SKILLS:

API Development:

• RESTful API Design: Strong experience building clean, intuitive APIs
• Node.js or Python: Proficiency in server-side API development
• API Documentation: Experience with OpenAPI/Swagger documentation
• HTTP Standards: Deep understanding of status codes, headers, and best practices
• JSON/Data Serialization: Efficient data formatting and validation

Google Cloud Platform (Existing Infrastructure):

• Firestore: Working with existing database schemas and queries
• Cloud Functions: Deploying API endpoints as serverless functions
• App Engine: API hosting and scaling
• Cloud Storage: File handling APIs for reports and measurements
• Authentication: Working with existing OAuth/JWT implementation

Integration & Performance:

• Third-party API Integration: Experience with external service APIs (Claude AI, etc.)
• Caching Strategies: Redis or similar for API response optimization
• Error Handling: Robust error management and user-friendly error responses
• Testing: Unit testing and API testing frameworks
• Monitoring: API performance monitoring and debugging

Specific API Requirements:

Client Management APIs:

• CRUD operations for client profiles and medical history
• Endpoints for measurement data retrieval and filtering
• APIs for client progress tracking and milestone management

Provider Dashboard APIs:

• Client caseload management endpoints
• Clinical recommendation retrieval APIs
• Progress summary and analytics endpoints
• Medication effectiveness tracking APIs

Measurement Data APIs:

• Real-time measurement ingestion from BIA hardware
• Historical data retrieval with filtering and pagination
• Batch measurement processing endpoints
• Data validation and quality control APIs

Clinical Calculation APIs:

• Expected Change Calculator integration endpoints
• Medication dosage calculation APIs
• Nutrition recommendation generation endpoints
• Body composition analysis result APIs

AI Integration APIs:

• Clinical recommendation request/response handling
• Progress summary generation endpoints
• Medication effectiveness analysis APIs
• Structured prompt management for consistent AI outputs
• Session scheduling and appointment management endpoints
   

RESPONSIBILITIES

API Development & Maintenance:

• Build RESTful APIs for existing client, provider, and organization management systems
• Create endpoints for body composition data retrieval and measurement session management
• Develop APIs for clinical dashboard widgets and user applications
• Implement API versioning and backward compatibility strategies
• Write comprehensive API documentation using OpenAPI/Swagger

Data Integration APIs:

• Build endpoints for body composition measurement ingestion from our BIA hardware
• Create APIs for integrating with existing calculation engines (Expected Change Calculator, medication effectiveness analysis)
• Develop data export APIs for clinical reporting and research purposes
• Implement bulk data operations for organizational reporting needs

Clinical Workflow APIs:

• Create endpoints for provider dashboard functionality
• Build APIs for client progress tracking and session management
• Develop medication tracking and effectiveness monitoring endpoints
• Implement clinical recommendation delivery APIs

AI Service Integration:

• Build wrapper APIs for Claude AI integration with proper error handling
• Implement structured request/response handling for clinical recommendation generation
• Create caching mechanisms for AI-generated content
• Develop fallback systems when AI services are unavailable

Performance & Security:

• Optimize API performance for high-volume healthcare data requests
• Implement rate limiting and request throttling
• Build comprehensive error handling and logging
• Ensure HIPAA-compliant API security practices