Corridor Platforms
Website:
corridorplatforms.com
Job details:
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.
Skills:- Python, SQLAlchemy, PostgreSQL, MySQL, SQL, Javascript, Flask, Django, FastAPI, Celery, Apache Spark, Redis, Amazon Web Services (AWS), Google Cloud Platform (GCP), Docker, pytest, Git, Generative AI (GenAI), Agentic AI, Large Language Models (LLM) tuning, Retrieval Augmented Generation (RAG), Machine Learning (ML) and Natural Language Processing (NLP)
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