Software Engineer

Revive IT Recruitment; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

Global Quantitative Investment Firm is seeking a Software Engineer to design, build, and operate distributed systems powering investment research and execution platforms. This on-site role in New York offers ownership of critical components used by researchers, traders, and engineers to scale across global markets.

You will work on high-performance systems, research platforms, and backtesting engines, collaborating with quantitative teams to deploy new ideas and ensure reliability and

Qualifications

• Strong fundamentals in system design, algorithms, and data structures.
• Proficiency in Python, Java, C++, C#, Go, or Rust.

Responsibilities

• Design, build, and maintain large-scale software systems used across the investment lifecycle.
• Develop high-performance trading and execution platforms.
• Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.
• Create scalable data pipelines that process and analyse massive datasets.
• Develop distributed computing infrastructure to support complex modelling and analytics workloads.
• Partner closely with Quant Researchers, Quant Developers, and Portfolio Managers to solve technical problems.
• Continuously improve system reliability, performance, scalability, and developer productivity.

Skills

Python

Java

C++

C#

Go

Rust

Tools

Databases

Distributed systems

Job description

Software Engineer QD

Software Engineer New York (On-Site) Highly Competitive Compensation + Significant Performance Bonus Global Quantitative Investment Firm

The Opportunity

Our client is one of the world's leading quantitative investment firms, where technology sits at the heart of every investment decision. Engineers build the platforms, infrastructure, and systems that enable researchers, portfolio managers, and traders to operate at scale across global financial markets.

This is an opportunity to work on highly complex distributed systems, large-scale data platforms, and mission-critical applications that directly impact business performance. Engineers are given significant ownership and visibility, with their work supporting one of the largest internal user bases within the organisation.

What You\'ll Do

• Design, build, and maintain large-scale software systems used across the investment lifecycle.
• Develop high-performance trading and execution platforms.
• Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.
• Create scalable data pipelines that process and analyse massive datasets.
• Develop distributed computing infrastructure to support complex modelling and analytics workloads.
• Partner closely with Quantitative Researchers, Quantitative Developers, and Portfolio Managers to solve challenging technical problems.
• Continuously improve system reliability, performance, scalability, and developer productivity.

What You\'ll Have

• Strong software engineering fundamentals, including system design, algorithms, and data structures.
• Excellent programming skills in languages such as Python, Java, C++, C#, Go, Rust, or similar.
• Experience building and operating scalable distributed systems. Strong understanding of databases, data processing, and software architecture. Ability to write clean, maintainable, and high-quality code. Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.

Nice to Have

• Experience building high-performance systems, data platforms, or cloud infrastructure.
• Exposure to distributed computing, large-scale analytics, or machine learning systems.
• Background in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
• Experience working in data-intensive or highly complex technical environments.

What\'s In It For You?

• Work on business-critical systems with direct visibility across the organisation.
• Solve some of the most challenging engineering problems at scale.
• Collaborate with world-class engineers, researchers, and quantitative professionals.
• Access to exceptional technology, data, and computing resources.
• High levels of ownership and autonomy from day one.
• Meritocratic environment where impact and technical excellence are rewarded.
• Highly competitive compensation package with significant performance upside.