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Software Developer - Internal Compute Frameworks (Python)

Position Overview:                                             

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Squarepoint Capital London, London, Montreal, Singapore, Warsaw Source published Sep 20, 2026 Verified 46 minutes ago
✓ 100% verification score · Source: Squarepointcapital (greenhouse) · Always confirm final requirements on the original source.
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Overview

Position Overview:                                             

Full job description

Position Overview:                                              We are seeking an experienced and passionate Software Developer to join our growing team. In this role, you will play a key part in designing, building, and maintaining Squarepoint internal frameworks, services and platforms that power our business. You will have the opportunity to work with cutting-edge technologies and make a direct impact on the efficiency and productivity of both investment and technology teams within SquarePoint. Design, develop, and maintain high-quality, scalable, and performant software solutions. Contribute to the development of company-wide productivity tools, frameworks, and platforms that streamline operations across the organization. Collaborate with other developers and stakeholders to gather requirements, design solutions, and implement features. Write clean, well-documented, and testable Python code. Participate in code reviews and contribute to improving code quality and development processes. Troubleshoot and resolve technical issues in a timely and efficient manner. Stay up to date with the latest Python technologies and industry best practices. Required Qualifications: 6+ years of professional software development experience. Strong proficiency in high-performance Python, with a deep understanding of its ecosystems and best practices. Prior experience with at least one JVM-based language such as Java, Kotlin, or Scala is a plus. Solid understanding of distributed systems principles and experience working with distributed architectures. Experience with containerization technologies (e.g., Docker, Kubernetes). Experience working in a Linux environment, using version control. Experience with CI/CD pipelines and automation tools.

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