Software Developer - Internal Compute Frameworks (Python)
at Squarepoint Capital
Posted 7 hours ago
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- Compensation
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Role involves designing, building, and maintaining SquarePoint's internal frameworks, services, and platforms using Python. You will write clean, scalable code, participate in code reviews, and troubleshoot issues to improve efficiency across investment and technology teams. Collaborate with developers and stakeholders to gather requirements and implement features, while staying current with Python technologies and best practices.
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.

