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Squarepoint Capital

Junior SRE

New York, London, Singapore

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Eligibility

  • Candidates early in their career
  • Degree qualification or equivalent experience

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Early-career full-time Junior Software Engineer position focused on ML/HPC infrastructure, system design and production-quality code supporting quantitative research and trading workloads, including mentorship and increasing ownership.

Responsibilities

  • Design, implement, and maintain data pipelines for machine learning training and inference.
  • Develop and improve workflow orchestration and infrastructure components (e.g. scheduling, resource allocation, data movement, filesystems).
  • Analyze and improve performance and scalability of systems and critical code paths.
  • Improve the reliability, observability, and usability of ML or HPC platforms.
  • Collaborate with quantitative researchers and developers to understand requirements and translate them into robust technical solutions.
  • Learn existing systems, contribute independently to ongoing work, and progressively take ownership of platform areas.

Requirements

  • Degree in Computer Science, Engineering, Applied Mathematics, or related field, or equivalent practical experience.
  • Strong foundations in computer science (algorithms, data structures, OS, distributed systems).
  • Experience developing software in Python, C++, or Rust.
  • Familiarity with writing, testing, and maintaining production-quality code.
  • Ability to reason about technical problems and communicate effectively.
  • Interest in infrastructure, performance, and large-scale systems.
  • Exposure to machine learning workflows or ML platforms.
  • Experience working in Linux environments.
  • Introductory knowledge of distributed systems, HPC, or cloud platforms.
  • Experience with profiling, benchmarking, or performance analysis.

Skills

  • Python
  • C++
  • Rust
  • Linux
  • Distributed systems
  • Machine learning workflows
  • Performance analysis
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