Senior Software Engineer - Research Technology

Salary: £62,000 - 102,000 per year

Requirements:

• 7+ years of professional experience building large-scale, high-performance systems.
• Daily use of modern C++ (>=17) and Python.
• Strong CS fundamentals, including data structures, algorithms, networking, operating systems, concurrency, and system design.
• Experience running compute at cluster scale, including job scheduling, resource management, retries, and reliability.
• Experience with Slurm, Kubernetes, Ray, Spark, or custom internal schedulers.
• Proven data-engineering experience, including schema design, storage formats, compression, I/O trade-offs, and pipelines processing hundreds of terabytes.
• Experience with columnar formats such as Parquet or Arrow, or comparable domain-specific formats used for event logs, telemetry, or replays.
• Experience designing and operating services or platforms used by other technical users in data-intensive environments.
• Demonstrated ability to ship production software safely and repeatedly, with a focus on data-driven quality.

Responsibilities:

• Build and operate the platform powering compute-intensive analysis of large event-stream datasets.
• Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams.
• Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale.
• Orchestrate and improve reliability of data and compute pipelines on HPC clusters.
• Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly using Python and C++ integrations.
• Develop and maintain simulation frameworks tightly integrated with HFT and live trading platforms.
• Support training and deployment of quantitative models used in trading.
• Optimize codebases for performance, reliability, and resource efficiency across the full stack.
• Work primarily as a hands-on individual contributor while mentoring junior team members as needed.

Technologies:

• Support
• Kubernetes
• Python
• Quant
• Spark
• C++
• Network

More:

We are DRW, a diversified trading firm with over three decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, and we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital, and cryptoassets. We operate with respect, curiosity, and open minds, and we value high expectations, integrity, innovation, and a willingness to challenge consensus. Trading experience is not required, and we provide comprehensive onboarding. Our stack includes modern C++ for throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters, supporting exchange-data ingestion, HPC orchestration, simulation, and research tooling.

last updated 36 week of 2026