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Juliana Torrisi, RecruiterAbout the role:
We’re hiring a senior backend engineer with deep Python and FastAPI skills to maintain our API layer, orchestrate batch processes, and ensure scalable interaction between our GCP-based infrastructure and frontend layers.
Skills Required:
- 8+ years backend engineering
- Mastery of Python, FastAPI, Docker
- Experience with async processing, dependency injection, and Pydantic
- Fluency with PostgreSQL and noSQL optimization and management
- Familiarity with GCP batch processing, Firestore, and Cloud Run
- Dockerized deployment workflows
- Ability to coordinate closely with front-end (Bubble.io) and batch services
- GitHub, Slack, ClickUp
Requirements:
- Prior experience integrating APIs with LLM pipelines triggering and monitoring batch jobs via fastAPI endpoints
- Experience distinguishing between multiple user roles in a DB and API
- Experience developing APIs for healthcare or regulated industries
- Bubble.io backend integration experience a plus
- Built and maintained API endpoints that serve multiple UIs, including Swagger interfaces
- Integrated real-time status tracking, error messaging, and automated deletion flows
- Troubleshot stuck workflows and missing syncs between front-end and back-end databases
- Managed structured logging, debugging, and standardized error responses (e.g., ERROR + message string)
- Experience interfacing with external parsing flows (e.g., Langroid vs Sequential), allowing backend selection and processing logic
- Created and maintained admin-only APIs for AI flow configuration, user management, and testing resets
- Familiarity with secure file handling and authentication workflows, including secret key headers
- Ability to translate real-world feedback from QA testing into rapid backend updates and sync logic
Ideal to Also Have:
- Built systems to dynamically generate and visualize biomarkers, diagnoses, procedures, and supplement records via RESTful APIs
- Experience working with LOINC code integrations, metadata sync, and longitudinal biomarker data