As a Backend Engineer, you will be at the heart of designing and building robust, scalable, and secure backend systems powering TIFIN's financial products. You will work across the latest Python and .NET technology stacks, contributing to API design, data architecture, security, and cloud-native deployments. The role offers the opportunity to shape mission-critical workflows and directly impact the reliability, compliance, and user experience of our global fintech offerings. Collaboration across engineering, product, and frontend teams is essential, and you'll own solutions end-to-end from initial concept and architecture to production, monitoring, and optimisations.

Responsibilities :

- API Development : Design and build RESTful APIs using Starlette/FastAPI with asynchronous Python services.

- Authentication and Security : Implement robust JWT authentication/authorisation systems and role-based access control mechanisms.

- Data : Work with PostgreSQL using SQLAlchemy ORM, manage migrations with Alembic, and implement Redis for caching.

- AWS : Architect and operate solutions on AWS, including advanced container orchestration.

- Production : Set up and manage APM, error/log monitoring, and alerting.

.NET/Core Responsibilities :

- Legacy Application Support : Serve as a standby developer for a large, revenue-generating .NET/Core application, ensuring stability and seamless operations.

- Technical Skills : Prior hands-on experience with .NET Framework/.NET Core, C#, ASP.NET Core and SQL Server.

- Cloud : Experience with Microsoft Azure cloud services.

Requirements :

- Hands-on coding experience leveraging AI-powered tools such as Cursor AI for enhanced productivity and code quality.

- Familiarity with modern frontend technologies, including JavaScript, React.js, and Next.js,

enabling effective collaboration on user interfaces and web application features.

- Kubernetes : Familiarity with EKS/Kubernetes orchestration.

- Design Patterns : Understanding of Event-driven, Domain Driven Design, Dependency

Inversion principles and data validation via Pydantic.

- Finance : Experience or exposure to the financial domain.