Python Engineer - Distributed Systems & Tools

Hudson River Trading

Singapore

Presencial

SGD 120 000 - 180 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Resumo da oferta

Hudson River Trading in Singapore is seeking a Python Engineer to join a small, high-performance team. You’ll write software that directly supports trading systems and you’ll work across the stack, from data processing to tooling.

You’ll collaborate with researchers and engineers to build high-impact products, expand a distributed compute platform, and tackle new initiatives. Strong Python experience and UNIX/Linux knowledge are essential, with exposure to a latency-sensitive environment a plus.

Qualificações

  • Deep Python experience with modern standards
  • Strong design, debugging and problem-solving skills
  • Knowledge of UNIX operating systems, networking and performance

Responsabilidades

  • Develop software used across Hudson River Trading to improve trading systems
  • Contribute to Python tooling, job orchestration, and monitoring in a large compute cluster
  • Build and maintain data ETL pipelines and systems for diverse inputs (market data, images, text)
  • Collaborate with researchers and engineers to deliver high-impact products and initiatives

Conhecimentos

Python
C++
UNIX / Linux
Distributed computing
Problem solving
Team collaboration

Formação académica

Bachelor’s degree in Computer Science/Engineering or related field

Ferramentas

Python
Linux

Descrição da oferta de emprego

Hudson River Trading in Singapore is seeking a Python Engineer to join a small, high-performance team. You’ll write software that directly supports trading systems and you’ll work across the stack, from data processing to tooling.

You’ll collaborate with researchers and engineers to build high-impact products, expand a distributed compute platform, and tackle new initiatives. Strong Python experience and UNIX/Linux knowledge are essential, with exposure to a latency-sensitive environment a plus.

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