Wolverine Trading

Proprietary trading, asset management, execution services

Senior C++ Software Engineer - Real Time Trading

Backend EngineeringPosted on Nov 9

Full-timeChicago, IL, USANo salary listed

About the Job

Requirements

A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field is required.
At least 3 years of professional experience developing C++ code is required.
Expert-level knowledge of modern C++ (C++17 or later), including templates, move semantics, and low-level performance idioms, is required.
A strong grasp of systems fundamentals, including memory hierarchies, CPU architecture, lock-free programming, and network protocols such as TCP and UDP, is required.
A pragmatic, detail-oriented approach and communication skills to work effectively with technical and trading teams are required.

Responsibilities

Build and enhance low-latency C++ components for market data processing, exchange connectivity, and order execution.
Develop and optimize connectivity to new markets and exchange platforms, expanding the reach of the trading business.
Analyze and tune system performance at every level, from application code and lock-free data structures to network and operating-system behavior.
Collaborate with traders, FPGA engineers, and infrastructure teams to deliver end-to-end solutions across software and hardware.
Own production systems through the full lifecycle: design, implementation, testing, deployment, and real-time support.

Desired Qualifications

Exposure to low-latency, real-time, or high-throughput systems from any industry is a plus.

At Wolverine Trading, we're looking for a Senior C++ Software Engineer to build and optimize the market data and execution systems at the heart of our trading operation. This role is on-site in our Chicago headquarters, where engineers work shoulder-to-shoulder with traders and hardware specialists on systems where every microsecond counts. You'll take on some of the most technically demanding problems in the industry including processing enormous volumes of market data, connecting exchanges around the world, and executing orders at maximum speed and reliability. This is a hands-on role for an engineer who thrives on performance-critical work, wants their code running in production where its impact is immediately measurable, and is ready to help set the technical direction of a growing team.

Build and enhance low-latency C++ components for market data processing, exchange connectivity, and order execution.
Develop and optimize connectivity to new markets and exchange platforms, expanding the reach of our trading business.
Analyze and tune system performance at every level from application code and lock-free data structures to network and OS-level behavior.
Collaborate with traders, FPGA engineers, and infrastructure teams to deliver end-to-end solutions across software and hardware.
Own production systems through the full lifecycle: design, implementation, testing, deployment, and real-time support.

Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field.
3+ years of professional experience developing C++ code; exposure to low-latency, real-time, or high-throughput systems from any industry is a plus.
Expert-level knowledge of modern C++ (C++17 or later), including templates, move semantics, and low-level performance idioms.
Strong grasp of systems fundamentals: memory hierarchies, CPU architecture, lock-free programming, and network protocols (TCP/UDP).
No prior trading or financial markets experience needed! We are looking for a strong technical foundation and a drive to learn the domain is what matters.
A pragmatic, detail-oriented approach and communication skills to work effectively with both technical and trading teams.

About the Company

Wolverine Trading

Proprietary trading, asset management, execution services

Wolverine Trading operates in three areas: proprietary trading, asset management, and execution services. In proprietary trading, it uses market making and valuation arbitrage to provide liquidity and capture price differences across global markets. Wolverine Asset Management runs investment funds for clients, pursuing returns through a range of strategies. The company earns trading profits, management fees, and execution commissions, and aims to grow revenue by applying market expertise and technology to deliver liquidity, portfolio management, and efficient trade execution.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Chicago, IL
Founded: 1994

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