Software Engineer II — Backend

NewStreet is an award-winning fintech building AI-powered platforms that transform how financial institutions operate. Established in 2017 and ISO 9001 & ISO 27001 certified, we serve 170,000+ customers across lending, trade finance and payments, partnering with leading banks across India, the GCC and Southeast Asia. * Financial Times — 7th Fastest-Growing Fintech, Asia Pacific · Deloitte Technology Fast 50 · Aegis Graham Bell Award · World Fintech Awards 2025 · FICCI IBA Best Emerging Technology Platform* About the Role Two backend engineers, one into the MiFiX.ai platform team and one into client delivery. You will be writing Python services that handle real financial data for real banks, with a senior engineer reviewing your work closely for the first few months. This is the second rung of the engineering ladder: Graduate Engineer → Software Engineer I → Software Engineer II → Senior Software Engineer. We expect you to already write code that works; what you will learn here is writing code that survives production, review and an auditor. Key Responsibilities Build and maintain API endpoints. FastAPI services against PostgreSQL, to the team's existing patterns rather than your own. Write the tests with the code. Not afterwards, not 'when there is time'. Tests are part of the pull request. Handle data carefully. Financial records. Validate inputs, parameterise every query, and never log anything a customer would mind seeing in a log file. Take code review seriously. You will get detailed review. Argue when you disagree, change it when you are wrong, and do not repeat the same correction twice. Debug your own defects. Reproduce, find the cause, fix the cause — and say what the cause was rather than 'it works now'. Document what you build. A short README or endpoint note so the next person does not have to read the whole module. What You Bring 1–3 years writing Python professionally. FastAPI or Flask exposure — you have built and run an HTTP service. SQL and PostgreSQL basics: joins, indexes, and why a query might be slow. Git as a working tool — branches, pull requests, resolving your own conflicts. Readable code. Sensible names, small functions, no cleverness for its own sake. BE / BTech / MCA or equivalent. What Would Be Great to Have Pandas or scikit-learn. Docker, and any exposure to a CI pipeline. Async Python and SQLAlchemy 2.0. Financial-services data exposure. AI-assisted development tools used with judgement — we use them, and we expect you to review what they produce. Tech Stack Backend: Python 3.11+, FastAPI, SQLAlchemy, Pydantic Data: PostgreSQL, Redis Tooling: Git, Docker, pytest, CI pipelines Cloud: AWS basics — you will learn the rest here Apply: careers@newstreettech.com