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Senior Full-Stack Python, React & AWS Engineer

Intracruit — United States · Posted ~4 hours ago

Senior Contract Onsite

Skills

Python React FastAPI AWS Database Databases

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Summary ✨ AI‑Generated

A senior full-stack engineering opportunity for an experienced developer skilled in Python, React, FastAPI, AWS, and databases. You will build and support applications across frontend, backend, data, and cloud layers for sophisticated financial and quantitative workflows. Experience with investment technology, quantitative research, trading, or portfolio analytics is advantageous. The role requires working onsite three days per week in the assigned U.S. location.

Highlights

Senior hands-on full-stack role spanning frontend, backend, data, and cloud engineering, with exposure to quantitative research and investment technology. The position offers a long-term engagement and work on scalable applications used by investment professionals.

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 Domain - Financial services 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.