Python Developer

We are looking for a versatile Backend Engineer who thrives in a high-growth environment. You will design, develop, and maintain robust microservices that integrate sophisticated AI models with real-world healthcare applications. You'll be responsible for ensuring our systems are scalable, secure (HIPAA compliant), and highly available.

Technical Requirements

Languages & Frameworks:

- Core Languages: Proficiency in Node.js, Python, and TypeScript.

- Web Frameworks: Hands-on experience with FastAPI, NestJS, Django, and Express.js.

- Database Management: Expert knowledge of PostgreSQL and SQL optimization, alongside experience with NoSQL solutions like MongoDB and Redis.

Infrastructure & DevOps:

- Cloud: Primary experience with GCP (Google Cloud Platform) services such as GCE, GKE, Cloud Run, or BigQuery; prior experience with AWS is also highly valued and acceptable.

- Orchestration: Good understanding of Docker and Kubernetes (K8s) for containerized environments.

Architecture & Data:

- Messaging: Experience implementing event-driven architectures using Kafka or RabbitMQ.

- API Design: Proficiency in designing and consuming REST and GraphQL APIs.

- Standards: Mastery of Microservices architecture and Serverless computing.

What You'll Do:

- Design & Scale: Build and maintain scalable backend services capable of processing large-scale healthcare datasets.

- AI Integration: Collaborate with Data Scientists to deploy and integrate machine learning models into production environments.

- Quality First: Advocate for and implement Test-Driven Development (TDD) to ensure code reliability and maintainability.

- Security & Compliance: Ensure all backend systems adhere to strict healthcare data security standards, including encryption at rest and in transit.

- Mentorship: Participate in code reviews and contribute to the team's technical growth through knowledge sharing and documentation.

Bonus Points (Nice to have)

- Experience with Healthcare Standards (HL7, FHIR, ICD-10).

- Familiarity with healthcare EDI/Claims APIs.

- Exposure to open-source projects or a strong GitHub portfolio.

- Knowledge of data engineering tools such as Snowflake or dbt.