
Qube Research & Technologies
Open Positions at Qube Research & Technologies
78 open positions
Build production-grade trading applications, distributed systems, APIs, and reusable engineering platforms supporting QRT’s global electronic trading environment. This experienced role combines software development, cloud technologies, deployment automation, and production engineering across latency-sensitive systems.
Build and optimize ultra-low-latency C++ trading systems as part of QRT’s Trading Execution team. The role spans development, validation, deployment, and production support for market data and execution infrastructure.
Build high-frequency and low-latency cryptocurrency trading systems as a Quantitative Developer working closely with traders and quantitative researchers. The role focuses on C++ development, trading algorithms, market rules, and research platforms.
Cloud Engineer responsible for designing, deploying, and operating secure, reliable AWS infrastructure supporting trading, research, and digital-asset systems. The role focuses on automation, CI/CD, monitoring, scalability, and cloud operations.
Build and enhance front-office quantitative trading systems for QRT’s digital-asset strategies, working closely with traders and quants. The role focuses on algorithmic trading infrastructure, risk systems, model productionization, and automated 24/7 operations.
Build and evolve high-throughput front-office technology powering QRT’s systematic digital-asset trading strategies. You’ll partner closely with traders and quants to automate, support, and scale 24/7 trading systems.
Join QRT’s Data Engineering team to build a next-generation platform for ingesting, processing, aggregating, and indexing large-scale data. You’ll develop scalable distributed services and reusable libraries using Rust or comparable systems languages.
Join QRT’s Data Engineering team to build a next-generation platform for ingesting, aggregating, and indexing large-scale data. You’ll develop scalable distributed services, reusable libraries, and reliable delivery pipelines using Rust or comparable systems languages.
A 3–6 month 2027 internship for students interested in infrastructure and cloud engineering at a quantitative investment firm. Interns will help optimize Linux systems, manage scalable cloud platforms, automate provisioning, and support research and trading technology.
Join QRT’s data infrastructure team to build high-performance services that ingest, process, and serve massive datasets for quantitative trading. You’ll work on real-time messaging, distributed databases, system reliability, and scalable server-side software.
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