C++ Software Engineer (Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
C++ Software Engineer (Data Platform): Designing and maintaining core components of a distributed storage and compute platform for massive time-series datasets with an accent on storage engines, RPC networking, and distributed coordination. Focus on optimizing query execution, resolving production performance regressions, and translating complex data-access requirements into scalable implementations.
Location: London, United Kingdom
Company
develops and deploys systematic financial strategies using a proprietary research platform to identify market inefficiencies.
What you will do
- Design and maintain core components of distributed storage, compute, and service platforms, including storage engines and query execution.
- Develop RPC/networking layers and distributed coordination mechanisms such as routing, partitioning, and replication.
- Partner with research and engineering teams to translate data-access and performance requirements into concrete implementations.
- Investigate and resolve production issues, ranging from correctness bugs to performance regressions.
- Participate in system design, code reviews, and the productionization of new features.
Requirements
- Degree in Computer Science or a related field.
- 2+ years of professional software engineering experience.
- Strong fundamentals in data structures, algorithms, memory management, and concurrency.
- Proficiency in modern C++ (C++11 or higher) and comfort with STL.
- Solid working knowledge of UNIX/Linux development environments.
- Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development.
Nice to have
- Proficiency in Python.
- Exposure to distributed systems concepts (replication, sharding, consensus) or query/compute engines.
- Experience with columnar/analytical storage formats or RPC frameworks.
Culture & Benefits
- Intellectually driven and relaxed environment pairing academic sensibility with accountability for results.
- Culture that encourages challenging conventional thinking and continuous improvement.
- Collaborative atmosphere working alongside researchers and portfolio managers.
- Equal opportunity employer focusing on intellectual horsepower and outstanding talent.
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