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Qube Research & Technologies

Software Engineer - Data Infrastructure

Reposted 16 Days Ago
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In-Office
London, England
Mid level
Easy Apply
In-Office
London, England
Mid level
Join the data infrastructure team to design and implement services for data ingestion and processing, while ensuring code quality and system robustness.
The summary above was generated by AI

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. 

Your future role within QRT:

  • Design, review and implement services and clients. 
  • 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. 

Your present skillset:

  • Excellent knowledge of algorithms and data structures, as well as system design. 
  • Proficiency in at least one prominent server-side programming language (Python, Go, Rust, C++, 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. 

 

Top Skills

Bigtable
C++
Cassandra
Elasticsearch
Go
Java
Kafka
Python
Rust

Qube Research & Technologies London, England Office

160 Victoria Street, London, United Kingdom, SW1E 5LB

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