Software Engineer (C++)

TL;DR

Software Engineer (C++): Designing and delivering high-performance, low-latency C++ trading systems for global markets with an accent on processing billions of market data updates and trading decisions. Focus on optimizing performance, ensuring reliability, and shaping proprietary trading infrastructure in collaboration with quantitative researchers and traders.

Location: Onsite in Chicago, USA

Salary: $185,000–$250,000 USD (base) plus annual discretionary variable remuneration

Company

hirify.global is a leading global trading firm, providing competitive edge through event-driven trading systems designed for ultra-low latency data handling.

What you will do

• Design and deliver trading systems processing billions of market data updates, orders, and trading decisions across global venues.
• Measure and optimize performance to achieve best-in-class reliability, latency, and throughput.
• Collaborate directly with global colleagues across Technology, Trading, and Quantitative Research to shape proprietary trading infrastructure.
• Iterate fast and often, pushing changes to production and collecting feedback to refine your approach.

Requirements

• BSc, MSc, or PhD in Computer Science, Mathematics or equivalent.
• 5+ years post-graduation professional C++ software development experience.
• Ability to write clean, reliable, and highly scalable code.
• Good knowledge of algorithms and data structures.
• Experience in parallel, asynchronous, and multithreaded programming.
• Ability to communicate effectively with technical and non-technical business colleagues.

Nice to have

• Experience in the proprietary trading industry.

Culture & Benefits

• Teamwork is a core firm value, fostering collaboration with short feedback loops.
• Maintain shared libraries, encourage code re-use, and continuously evolve application architecture.
• Employees are eligible to share in company success through annual discretionary variable remuneration.
• Base salary ranges are determined by reliable market research, considering experience, location, and skill set.