Software Engineer

• Consistently apply and help evolve coding best practices: review peer code, lead or participate in design reviews, with a focus on code quality, testability, and efficiency.
• Work with stakeholders and customers to understand their business needs, technical needs, and react accordingly.
• Triage and investigate system issues and debug/track/resolve to ensure the robustness of our operations.

• Excellent knowledge of algorithms and data structures, as well as system design.
• Proficiency in at least one prominent server-side programming language (Rust, C++, Go, Java, etc…).
• Experience writing high performance server code, multithreading, caching strategies, asynchronous IO, etc…
• An overall understanding of the big data landscape, knowing the design, strengths and drawbacks of tools such as Elasticsearch, Kafka, BigTable, Cassandra etc…
• Excellent communication and writing skills, with the ability to work effectively across teams and departments.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will join the data infrastructure team dedicated to the ingestion, processing and serving of large amounts of data at scale. Data is at the heart of everything QRT does, with exponentially growing needs. The candidate will push the edges of one of the most demanding data systems in the world, working on a variety of subjects such as real time pub sub, sharded databases and so on.