Senior Backend Engineer (Python & FastAPI)

Join our team supporting a fast-moving health-tech startup that’s redefining how patients connect with doctors across the United States. Think secure, seamless video consultations, delivered through a robust scheduling platform and intuitive mobile apps on Android and iOS.

We’re looking for a Senior Backend Engineer who’s passionate about writing clean, scalable code and thrives in a startup-like environment. If you’re experienced with Python and FastAPI, know your way around cloud-native systems, and enjoy working closely with product teams to shape real-world solutions, we’d love to hear from you.

Requirements

• 5+ years of Python backend experience, including 2+ years with FastAPI or similar frameworks.
• Proven track record building RESTful APIs for web/mobile apps, with payment integration (e.g., Stripe).
• Deep knowledge of PostgreSQL, SQLAlchemy, and Alembic.
• Experience with NoSQL (DynamoDB, MongoDB) and search tech like OpenSearch/Elasticsearch.
• Proficiency in async programming and messaging systems (Celery, Kafka, etc.).
• Proficiency with performance optimization strategies at the API Level (caching, pagination, async tasks).
• Strong background in testing and automation using pytest and mocking frameworks for unit/integration testing.
• Proficiency in GitHub Actions (or similar tools like CircleCI, Jenkins) for CI/CD pipelines.
• A solid grasp of security best practices, authentication, and secrets management.
• Team player familiar with Agile, JIRA, Git workflows, and PR reviews.

Nice to have

• Experience with distributed systems, ECS Service Connect, API Gateway, or App Mesh.
• Integration with CDP platforms like Segment, RudderStack, or Hightouch.
• Knowledge of data pipelines (Airflow, Luigi) or stream processing (Kinesis, Spark).
• Familiarity with monitoring tools like Datadog, Prometheus, or APMs.

Key responsibilities

• API & Service Development: Design, build, and maintain scalable FastAPI-based services and RESTful APIs using Python, emphasizing performance, security, and maintainability.
• Database Architecture: Architect and optimize PostgreSQL databases (including RDS and Aurora), NoSQL solutions (e.g., DynamoDB, MongoDB), and search systems using OpenSearch. Leveraging caching solutions to help optimize performance while maintaining consistency.
• Message Brokers & Async Tasks: Implement event-driven architectures using Redis, RabbitMQ, Celery, or Kafka for real-time data processing, task queues, and asynchronous workflows.
• Cloud Infrastructure: Containerize applications using Docker and deploy/manage them on AWS ECS or EKS, ensuring scalability, resilience, and cost efficiency.
• AWS Integration: Leverage AWS services (e.g., Lambda, S3, IAM, CloudFormation) to build and maintain secure, cloud-native backend systems.
• Testing & Quality: Write comprehensive unit and integration tests using pytest, ensuring code reliability and adherence to business logic.
• CI/CD Pipelines: Configure and optimize GitHub Actions workflows for automated testing, deployment, and infrastructure management.
• Authentication & Security: Implement secure authentication/authorization flows (e.g., OAuth 2.0, OIDC, JWT) and enforce security best practices (e.g., RBAC, encryption).
• Data Modeling: Design efficient database schemas, optimize query performance, and ensure ACID compliance for transactional systems.
• Collaboration: Work closely with the frontend Team and product Teams to align technical solutions with business goals.