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Juliana Torrisi, RecruiterRole Overview
We are seeking a skilled Senior Full-Stack Developer to collaborate closely on an ongoing basis. The ideal candidate will possess strong technical expertise and excellent communication skills, providing frequent updates and ensuring efficient project progression.
Responsibilities
- Collaborate closely to address bugs quickly and implement improvements efficiently.
- Develop and maintain backend systems using Python, focusing on production APIs and services with frameworks such as FastAPI or Django.
- Build modern full-stack applications using React/Next.js (or Vue) for frontend development, integrated with backend APIs.
- Design and optimize SQL and Postgres databases, including schema design, migrations, indexing, and performance tuning.
- Implement containerization using Docker and manage deployments on AWS services like ECR, S3, and AWS App Runner.
- Develop robust data ingestion pipelines for both bulk and incremental data loads, ensuring efficient tracking and audit capabilities.
- Package and serve machine learning models in production, ensuring proper feature preparation, artifact loading, and versioning.
- Apply a strong system design mindset to separate concerns across API, inference, and scheduled ingest services, maintaining observability through logs and metrics.
Required Skills
- Excellent English communication skills, both written and spoken.
- Proven full-stack development experience.
- Proficiency in Python backend development, including FastAPI, Django, or similar frameworks.
- Expertise in modern frontend frameworks such as React/Next.js or Vue.
- Strong knowledge of SQL and Postgres, including schema design and performance optimization.
- Experience with containerization and AWS deployment services.
- Familiarity with data ingestion techniques and ML model serving in production environments.
- Understanding of ML metrics such as ROC-AUC, PR-AUC, F1, and precision/recall.
Nice to Have
- Experience with FastAPI async patterns and maintaining OpenAPI standards.
- Background in ETL/ELT processes or working with large public datasets, particularly in healthcare or biomedical fields.
- Familiarity with CI/CD practices, such as GitHub Actions, and basic MLOps principles.