About the role
Responsibilities:
- Architect, develop, and maintain backend components for our Risk Decisioning Platform.
- Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
- Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
- Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
- Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
- Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.
Requirements:
- Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
- Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
- Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
- Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
- Experience mentoring and guiding junior developers.
Technical Skills:
- Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
- Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
- Databases: PostgreSQL, Oracle, SQL Server, Redis.
- Tools: pytest, Docker, Git, Nx.
- Cloud: Experience with AWS, Azure, or GCP preferred.
- Monitoring: Familiarity with OpenTelemetry and logging frameworks.