Senior Software Engineer, Internal Tools for Quant Research

Qube Research & Technologies

Paris

Sur place

EUR 90 000 - 140 000

Plein temps

14 jours+

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Résumé du poste

Qube Research & Technologies in Paris is seeking a software engineer to strengthen the engineering platform for quantitative research. You will build and improve internal tools and services that streamline researchers' workflows and automate repetitive tasks.

You will work with researchers and software engineers, emphasize Python, cloud, containers, and CI/CD, and help deploy scalable solutions across the firm.

Qualifications

  • Strong software engineering skills, preferably in Python.
  • Experience building internal tools, APIs, automation, or web applications.
  • Experience using AI-assisted and agentic software development tools.
  • Familiarity with cloud environments, containers, deployment workflows, and CI/CD.
  • Clear written and verbal communication skills.
  • Ability to collaborate with researchers and engineering teams.

Responsabilités

  • Build and maintain backend services, APIs, automation tools, dashboards, and lightweight web apps.
  • Develop internal tooling to improve researcher productivity.
  • Deploy and operate internal applications using cloud technologies, containers, and CI/CD.
  • Collaborate with researchers to understand workflows and turn pain points into engineering solutions.
  • Troubleshoot issues across applications, infrastructure, and development environments.
  • Improve documentation and onboarding; share knowledge across teams.

Connaissances

Python
Backend development
API development
Automation tooling
AI-assisted tools

Outils

Docker
Kubernetes
CI/CD
Cloud platforms

Description du poste

Qube Research & Technologies in Paris is seeking a software engineer to strengthen the engineering platform for quantitative research. You will build and improve internal tools and services that streamline researchers' workflows and automate repetitive tasks.

You will work with researchers and software engineers, emphasize Python, cloud, containers, and CI/CD, and help deploy scalable solutions across the firm.

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