Senior Quant Developer / Software Engineer – Houston, Texas : $200-400k

engineeringjobs.net, Inc.; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

engineeringjobs.net, Inc. in Houston, TX is seeking a highly capable software engineer to develop and scale technology solutions for trading, quantitative research, strategy development, backtesting, and production trading.

You will work closely with trading and strategy teams to identify commercial opportunities and build platforms, data pipelines, analytics, and systems that support them, leveraging Python and modern distributed systems in cloud environments.

Qualifications

• Strong mathematical and analytical ability.
• Experience with Python and large-scale systems.
• Experience working with trading desks, quantitative teams, or strategy teams.

Responsibilities

• Develop and scale technology solutions for trading, quantitative research, strategy development, backtesting, and production trading.
• Collaborate with trading and strategy teams to identify commercial opportunities and build platforms, data pipelines, analytics, and systems that support them.

Tools

Docker

Kubernetes

CI/CD

Job description

Develop and scale technology solutions for trading, quantitative research, strategy development, backtesting, and production trading. Work closely with trading and strategy teams to identify commercial opportunities and build platforms, data pipelines, analytics, and systems that support them.

Requirements: Candidates should have strong mathematical and analytical ability, a strong software engineering background, and experience working closely with trading desks, quantitative teams, or strategy teams. They should bring commercial awareness and the ability to solve complex problems from both trading and technology perspectives; experience with Python and large-scale systems is relevant, while C++, Java, or other performance-oriented languages are also valuable.

Key Skills: Mathematical And Analytical Ability, Software Engineering, Python, Distributed Systems, Scalable Architecture, Cloud Computing, Docker, Kubernetes, CI/CD, Automated Testing, Large-Scale Data Processing, Data Pipelines, Market Data, Time-Series Data, Quantitative Research, Backtesting