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.

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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: [hidden]