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Work From Home High Frequency Trading Software Engineer Jobs

$128K - $168K/yr

Additionally, work with the Product Engineering team to enhance the SDK for blockchain signatures ... Experience in the financial technology industry, particularly in high-frequency trading or crypto ...

Senior Trading Software Engineer

Chicago, IL · On-site +1

$126K - $166K/yr

Our traders work hard to provide liquidity to the market through their market-making activities and ... From the beginning, we began iteratively investing in our proprietary technology and committing to ...

Senior Trading Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Our traders work hard to provide liquidity to the market through their market-making activities and ... From the beginning, we began iteratively investing in our proprietary technology and committing to ...

... standards of high-frequency trading firms in traditional markets and the innovative and ... to working from home and working hours. We may use artificial intelligence (AI) tools to support ...

... a high-frequency trading fleet, and the comprehensive migration of model hosting and agent ... By moving away from third-party LLM providers and hosted platforms, this role will establish the ...

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How much do work from home high frequency trading software engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for work from home high frequency trading software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a Work From Home High Frequency Trading Software Engineer job?

A Work From Home High Frequency Trading (HFT) Software Engineer develops and optimizes trading algorithms and infrastructure to execute trades at extremely high speeds. This role involves designing low-latency systems, improving execution efficiency, and maintaining high-performance trading platforms. Engineers work with programming languages like C++, Python, or Java and leverage networking and hardware acceleration technologies. Since the job is remote, they collaborate through digital communication tools while ensuring system reliability and performance.

What does a typical day look like for a Work From Home High Frequency Trading Software Engineer?

A typical day often starts with reviewing system performance metrics and logs from overnight trading, followed by participating in remote team stand-up meetings to coordinate efforts. You'll spend much of your time designing, optimizing, and testing trading algorithms or infrastructure, analyzing latency, and deploying code to live environments. Collaboration with traders, data scientists, and other engineers happens primarily through video calls and chat platforms to quickly address emerging issues or brainstorm new strategies. The role requires agility to troubleshoot production issues, iterate rapidly on improvements, and stay current on both market and technology trends, all while working independently in a highly dynamic setting.

What are the key skills and qualifications needed to thrive in the Work From Home High Frequency Trading Software Engineer position, and why are they important?

To thrive as a Work From Home High Frequency Trading Software Engineer, you need a strong background in computer science, algorithm development, and low-latency programming, often with experience in C++, Python, or Java. Familiarity with network protocols, performance profiling tools, and version control systems is common, while a background in finance or relevant certifications like Series 57 can be advantageous. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help you excel in this fast-paced, collaborative environment. These capabilities are critical for building reliable trading systems, addressing latency challenges, and maintaining smooth team workflows in a distributed setting.

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Senior Software Engineer (Trading Core)

Hyphen Connect Limited

Remote

$128K - $168K/yr

Other

Posted 26 days ago


Job description

We are working with a decentralised exchange which looks to innovate on providing the best of CEXs and DEXs, focusing on building a safe, simple and scalable platform for trading. They differentiate themselves by offering institutional level systems and support whilst remaining on-chain and decentralised.

We are in search of a highly adept Trading Systems Engineer for the core Engineering team to strengthen the platform's performance, scalability, and observability. The ideal candidate will have a strong background in low-latency trading systems and experience supporting clients like quant funds and market makers in integrating with APIs (both REST and WebSocket).

As the Trading Gateway Engineer, responsibilities include implementing core connectivity systems to expand the trading engine into a global, low-latency network. This involves building foundational data distribution channels and improving their throughput and latency.

Successful candidates will engage with clients' developers and project managers, addressing inquiries and resolving issues. Collaboration with the Gateway team and Trading Engineering will be essential to troubleshoot API and trading issues while contributing to the overall Gateway roadmap. Additionally, work with the Product Engineering team to enhance the SDK for blockchain signatures used by API traders.

What you'll be doing:

  • Develop and optimize the core matching engine and risk engine for the exchange, ensuring high performance and low latency.
  • Write highly reliable, production-ready code that guarantees the financial safety and integrity of computations.
  • Investigate and debug complex issues through thorough analysis of logs.
  • Create and maintain comprehensive unit tests and advanced integration tests to validate the exchange's financial computational correctness.
  • Work with the Quant team to develop, test, and refine our various trading algorithms.
  • Continuously improve and refine the trading core to meet evolving business and technical requirements.
  • Stay updated with the latest advancements in HFT systems and low-latency trading technologies.

What we're looking for:

  • Minimum of 7 years of experience in software engineering, with at least 3 years focused on high-frequency trading (HFT) systems.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in building and optimizing low-latency trading infrastructure. Proficient in low-latency message bus systems such as Aeron or Chronicle Queue.
  • Strong proficiency in Golang and Solidity. Expertise in deterministic coding and zero garbage-collection techniques.
  • Exceptional debugging and troubleshooting skills, with the ability to analyze complex logs and traces to identify and resolve issues.
  • Strong emphasis on writing unit tests, integration tests, and other advanced testing methodologies to ensure financial computational correctness.
  • Experience in the financial technology industry, particularly in high-frequency trading or crypto exchanges.
  • Experience with real-time data processing systems and streaming technologies.

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