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Job Details

Qube logo
Hedge Funds

Software Engineer - Data Infrastructure

at Qube

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Join Qube Research & Technologies to design and build a self-service data platform for a large-scale, high-availability financial data infrastructure. You will develop backend services, APIs, user interfaces, automations, approval workflows, and audit trails to enable safe orchestration of complex data operations. The role requires close collaboration with internal users to deliver practical, high-impact solutions and strong ownership of initiatives across teams. Candidates should demonstrate deep technical curiosity, attention to detail, scalable system design, and proficiency in at least one language (e.g., Python, Go, Rust, C++, Java).

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

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 our 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.

We operate one of the most demanding data infrastructures in finance: a large-scale distributed system spanning multiple database backends, streaming platforms, thousands of tables, and near-100% availability requirements. We are currently building a self-service platform that enables teams across the firm to safely orchestrate complex data operations, such as migrations, reprocessing, and schema evolution, while embedding strong guardrails by design.

Your future role within QRT:

  • Design and build the platform end-to-end, including backend services, APIs, and user interfaces
  • Develop automations, approval workflows, and comprehensive audit trails in a highly autonomous engineering environment
  • Work closely with internal users to understand their needs and deliver high-impact, practical solutions

Your present skillset:

  • You learn fast and enjoy diving deep into complex systems
  • You have strong attention to detail, in code, UX, and system design
  • You design solutions that are simple, scalable, and easy to evolve
  • You take ownership and drive initiatives across teams rather than waiting for direction
  • Strong proficiency in at least one programming language (Python, Go, Rust, C++, Java, etc.), with a willingness to learn Rust if you haven’t used it yet
  • Experience with infrastructure tooling (Kubernetes, Terraform) is a plus

 

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.

Job Details

Qube logo
Hedge Funds

17 days ago

clicks

Software Engineer - Data Infrastructure

at Qube

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Not specified

Country: Not specified

Join Qube Research & Technologies to design and build a self-service data platform for a large-scale, high-availability financial data infrastructure. You will develop backend services, APIs, user interfaces, automations, approval workflows, and audit trails to enable safe orchestration of complex data operations. The role requires close collaboration with internal users to deliver practical, high-impact solutions and strong ownership of initiatives across teams. Candidates should demonstrate deep technical curiosity, attention to detail, scalable system design, and proficiency in at least one language (e.g., Python, Go, Rust, C++, Java).

Full Job Description

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 our 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.

We operate one of the most demanding data infrastructures in finance: a large-scale distributed system spanning multiple database backends, streaming platforms, thousands of tables, and near-100% availability requirements. We are currently building a self-service platform that enables teams across the firm to safely orchestrate complex data operations, such as migrations, reprocessing, and schema evolution, while embedding strong guardrails by design.

Your future role within QRT:

  • Design and build the platform end-to-end, including backend services, APIs, and user interfaces
  • Develop automations, approval workflows, and comprehensive audit trails in a highly autonomous engineering environment
  • Work closely with internal users to understand their needs and deliver high-impact, practical solutions

Your present skillset:

  • You learn fast and enjoy diving deep into complex systems
  • You have strong attention to detail, in code, UX, and system design
  • You design solutions that are simple, scalable, and easy to evolve
  • You take ownership and drive initiatives across teams rather than waiting for direction
  • Strong proficiency in at least one programming language (Python, Go, Rust, C++, Java, etc.), with a willingness to learn Rust if you haven’t used it yet
  • Experience with infrastructure tooling (Kubernetes, Terraform) is a plus

 

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.