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# Senior Software Engineer - Research Technology

- **Company:** DRW
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Data Structures, Data Systems, Event Logging, Game Engine, Networking Hardware, Job Scheduling, Python (Programming Language), System Testing, Parquet, Concurrency, Apache Spark, Deep Learning, Gpu Programming, Kubernetes, Slurm, C++14, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=fea624ae524bd76f

## About the Role

* 7+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected.
 * Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.
 * Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.
 * Proven data-engineering experience: 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 an obsession for data driven quality.

Desirable / nice-to-have

 * Rust experience alongside C++ and Python.
 * Slurm or other cluster scheduler expertise.
 * Familiarity with ML/Deep Learning frameworks.
 * Prior finance or market-data experience, including low-level market connectivity.
 * GPU programming experience.
 * Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure).
 * Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks).
 * Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer, at scale).

## Description

* 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 (Python + C++ integrations).
 * Develop and maintain simulation frameworks tightly integrated with HFT/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.


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