2 months ago
Paris, FranceMid Level

Responsibilities

  • Design, review, and implement services and clients for data infrastructure.
  • Apply and improve coding practices through peer reviews and design reviews, with emphasis on code quality, testability, and efficiency.
  • Work with stakeholders and customers to understand business and technical needs.
  • Triage, investigate, debug, track, and resolve system issues to maintain operational robustness.

Requirements

  • Excellent knowledge of algorithms, data structures, and system design.
  • Proficiency in at least one prominent server-side programming language, such as Rust, C++, Go, or Java.
  • Experience writing high-performance server code and working with multithreading, caching strategies, and asynchronous I/O.
  • Understanding of the big data landscape and the design, strengths, and limitations of Elasticsearch, Kafka, BigTable, Cassandra, and similar tools.
  • Excellent communication and writing skills, with the ability to collaborate across teams and departments.

Benefits

  • Equal opportunity employer with a stated commitment to diversity and respectful collaboration.
  • Employee initiatives and programs supporting healthy work-life balance.

Tech Stack

Apache CassandraApache KafkaC++ElasticsearchGoJavaRust

Categories

BackendData Engineering
Qube Research & Technologies

About Qube Research & Technologies

1,001-5,000 employees

Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.

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