About Nevaeh Technology

Nevaeh Technology is a proprietary High-Frequency Trading (HFT) firm at the intersection of technology and quantitative research.

We design and deploy advanced algorithmic trading systems that operate across global financial markets.

Our culture emphasizes innovation, precision, and performance blending deep market insight with cutting-edge engineering.

We are a team of developers, researchers, and traders driven by a shared passion for low-latency systems, large-scale data processing, and intelligent automation.

Role Overview

We are looking for a skilled Python Developer to join our core technology team.

In this role, you will design, develop, and maintain high-performance systems and analytical tools that support our trading and quantitative research activities.

You will collaborate closely with quantitative researchers, data scientists, and low-latency developers to build robust, scalable, and secure software solutions for live trading environments.

Key Responsibilities

Software Development: Design, develop, and maintain Python-based applications and internal tools that power our financial and trading systems.
Data Pipeline Management: Build and optimize high-speed data ingestion and processing pipelines for tick-level and order book data.
Collaboration: Work with quants, traders, and infrastructure engineers to design seamless integrations between research models, execution engines, and data platforms.
Performance Optimization: Profile and optimize code for speed, scalability, and resource efficiency.
Security & Reliability: Implement best practices in code security, access control, and data protection for sensitive financial data.
Testing & Quality: Develop unit tests, participate in peer reviews, and ensure code quality and maintainability.
Documentation: Maintain structured and comprehensive documentation for all developed tools and frameworks.
Continuous Improvement: Stay current with new technologies, frameworks, and market trends to continuously enhance our technology stack.

Required Qualifications

Education: Bachelors degree in Computer Science, Engineering, Mathematics, or a related field.
Experience: 25 years of professional experience in Python development (preferably in trading, fintech, or data-intensive domains).

Technical Skills

Strong proficiency in Python and its core libraries (NumPy, pandas, asyncio, etc.
Hands-on experience with RESTful API design and implementation.
Proficiency in SQL and database management systems (PostgreSQL/MySQL).
Familiarity with web frameworks (e.g , Flask, FastAPI, Django).
Understanding of data serialization and messaging (e.g , JSON, Protocol Buffers, Kafka, ZeroMQ).
Knowledge of version control systems (Git) and CI/CD pipelines.
Exposure to Linux environments and shell scripting.
Experience in performance optimization and multi-threaded or asynchronous programming.

Preferred / Desirable Skills

Experience with financial systems, market data, or HFT infrastructure.
Knowledge of financial modeling, quantitative analysis, or trading systems.
Exposure to machine learning, data analysis, or statistical modeling.
Familiarity with cloud platforms (AWS / GCP / Azure) and containerization (Docker).
Understanding of C++ integration with Python for low-latency applications.

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