Infrastructure Software Engineer (USA)

As an Infrastructure Software Engineer at Trexquant, your primary responsibilities will include designing, developing, and enhancing our trading and clearing platform. You will focus on creating multi-prime capabilities, which will optimize our infrastructure and adapt to changing market conditions. This role also entails improving the performance and scalability of our medium-frequency statistical arbitrage systems, developing robust software infrastructure to handle large datasets, and expanding our system integrations with new asset classes and counterparties.

To qualify for the Infrastructure Software Engineer role at Trexquant, candidates should have a BS/MS/PhD degree in Computer Science, Engineering, or a related field, along with over 5 years of hands-on experience in software development, particularly in Python or C++. A notable plus would be experience in developing multi-prime capabilities and infrastructure, including enhancements to portfolio and execution management systems. Strong problem-solving skills and a detail-oriented approach are also essential.

Trexquant is committed to the professional growth of its Infrastructure Software Engineers. We foster a collaborative and casual work environment that encourages knowledge sharing and innovation. You will have opportunities to work on high-impact projects that enhance our trading operations and systems. Additionally, our competitive salary structure, bonuses based on performance, and comprehensive insurance coverage ensure you are supported both professionally and personally.

At Trexquant, Infrastructure Software Engineers enjoy a collaborative, friendly, and casual work environment. We believe that teamwork and communication are vital in solving the complex challenges present in the financial markets. Our office culture promotes an open dialogue where ideas can be freely shared, making it an exciting place to work and grow your career while tackling innovative projects.

Trexquant understands the importance of work-life balance for Infrastructure Software Engineers. We offer competitive compensation packages, which include not just salaries but also bonuses based on individual and company performance. Additionally, we provide fully covered PPO health, dental, and vision insurance for you and your dependents, along with pre-tax commuter benefits to make your daily commute smoother and more manageable.

When answering this question, highlight specific projects where you developed or contributed to multi-prime infrastructures. Discuss the challenges you faced, how you approached problem-solving, and any key outcomes from your work.

Be sure to mention specific languages like Python and C++ as required in the job description. Provide examples of projects where you have utilized these languages and explain why they were effective in your development process.

Discuss your methodology for identifying performance bottlenecks, including tools and techniques you use. Emphasize any previous experiences where you successfully enhanced performance and the metrics used to measure that improvement.

Share a specific instance where you quickly learned and implemented a new technology or framework in a project. Explain how this experience allowed you to become more flexible and innovative in your approach to software development.

Describe your systematic approach to debugging, including tools and techniques you leverage, as well as how you prioritize and track issues. Providing examples of past successes can strengthen your answer here.

Discuss your strategies for time management and prioritization in high-pressure situations. You may want to share a specific project where you successfully delivered results within tight deadlines.

Share details about any previous experiences with data feed integration, including challenges you faced and how you overcame them. Highlight your understanding of the importance of reliable data in trading and decision-making.

Discuss your strategies for designing scalable systems, focusing on both software architecture and the technologies you would implement to accommodate growing data needs. Be as specific as possible about your previous experiences with scaling systems.

Provide a comprehensive description of a project where you successfully improved efficiency. Focus on the changes you implemented, why you chose them, and the impact they had on the overall system and business performance.

Share your insights on challenges such as staying current with fast-evolving technologies, managing large datasets, or ensuring system reliability. Discuss how you approach these challenges to turn them into opportunities for growth.