Sr. Fullstack - Python, React and AWS Engineer

Intracruit Solutions; Philadelphia (Philadelphia County); On-site; USD 140,000 - 170,000; Full time

Job summary

Intracruit Solutions seeks a Senior Fullstack Engineer with expert Python, React, FastAPI, and AWS experience. This hands-on role covers front end, backend, data, and cloud layers to build and support applications used by investment professionals, including portfolio managers and traders.

The position is onsite in Charlotte, NC or Philadelphia, PA with local candidates, offering a 12+ month engagement and a collaborative global engineering team environment.

Qualifications

• Expert in React, Python, FastAPI and AWS.
• Experience with Database.
• Senior Full Stack Engineer with strong Python, React, and AWS experience.

Responsibilities

• Hands-on engineering across front end, backend, data, and cloud layers.
• Build and support applications used by investment professionals, including portfolio managers and traders.

Skills

React

Python

FastAPI

AWS

Database

Job description

Sr. Fullstack - Python, React and AWS Engineer

-Client Location - Charlotte, NC OR Philadelphia, PA - onsite Tue, Wed, Thu - need local only

-Duration - 12+ months

-Interview Process - Video Interview+onsite interview

Must Have -

Expert in React, Python, FastAPI and AWS

Experience with Database

They are seeking a Senior Full Stack Engineer with strong Python, React, and AWS experience to join a global investment technology team supporting quantitative research and investment platforms.

This is a hands-on engineering role where you will work across the front end, backend, data, and cloud layers to build and support applications used by investment professionals, including portfolio managers and traders.

Preferred Experience

• Experience in asset management, investment management, equities, quantitative research, trading, or financial technology.
• Experience supporting quantitative research, back-testing, signal generation, factor strategies, portfolio analytics, or investment applications.
• Understanding of investment concepts such as factor modeling, portfolios, signals, and back-testing.