
About Corridor Platforms
Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.
Role Overview
As a Backend Engineer at Corridor Platforms, you will:
- 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.
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
Why Join Us?
- Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
- End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
- Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
- Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.
What We’re Looking For
- 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.
Ready to build backends that shape the future of decision intelligence and responsible AI?
Apply now and become part of the innovation at Corridor Platforms!

About Corridor Platforms
About
Corridor Platforms Inc., with offices in NJ, USA and Bangalore, India is looking to expand its technology team in India. The company is developing a fully automated Credit Risk management platform that leverages big data technologies, data science, and the latest front-end technologies. The product features prospecting, underwriting, loan selection, portfolio management and many other risk solutions. This risk management platform is primarily targeted for use by investors/mid-tier and large-tier banks in funding consumer/institutional loans (helps manage risk and grow revenue). It comes with excellent UX and developed with latest technologies. New hires would experience and interact with leading experts in Credit Risk, Data science (ML/AI), Big Data and front-end full stack.
We are looking for creative and talented individuals to join a highly motivated team to conceptualize, build and deploy risk decision platforms for consumer lending in a Big Data environment. An ideal candidate must have experience managing and contributing to design and development of middleware technologies and integrate with Big Data Technologies, Machine Learning tools, backend capabilities and UI. The candidate must possess the aptitude to understand business requirements from senior executives and convert them to user stories/tasks to be implemented and communicate effectively. The individual must be action-oriented self-starter, process driven, maintain alignment with the team, abide by the company’s culture and follow industry-wide best practices.
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