Senior Trading Systems Engineer: Low-Latency C++, AWS

Statar Capital, LLC

EE. UU.

Híbrido

USD 180.000 - 300.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Health, dental, and vision coverage
Paid time off
Paid parental leave
401(K) plan with employer matching

Descripción de la vacante

Statar Capital LLC is seeking a hands-on Senior Software Engineer based in Miami, FL. You will design and build end-to-end trading systems, from low-latency gateways to cloud infrastructure, working with traders and researchers to turn desk requirements into production systems.

The role requires broad ownership across the stack, experience with modern C++, Python, AWS, Docker, Kubernetes, and data systems, plus a deep understanding of markets.

Formación

  • 5-10 years of experience building trading systems at a proprietary trading firm, hedge fund, or market maker.
  • Deep understanding of end-to-end architecture and low-level system design.
  • Experience with low-latency trading infrastructure and market data systems.
  • Hands-on with AWS, Docker, Kubernetes, and CI/CD pipelines.
  • Strong production Python skills with async programming and typing.

Responsabilidades

  • Design and build low-latency trading infrastructure and gateways.
  • Develop market data systems, order management, and execution components.
  • Implement FIX connectivity and maintain deployment pipelines.
  • Collaborate with traders and researchers to translate requirements into production systems.
  • Document architecture and operating procedures.

Conocimientos

Trading systems knowledge
Full-stack programming
Ownership of production systems
Low-latency development

Herramientas

C++
Python
Kafka
Redis
FlatBuffers
SBE
Protobuf
PostgreSQL
Docker
Kubernetes
Terraform
CI/CD
AWS
Airflow

Descripción del empleo

Statar Capital LLC is seeking a hands-on Senior Software Engineer based in Miami, FL. You will design and build end-to-end trading systems, from low-latency gateways to cloud infrastructure, working with traders and researchers to turn desk requirements into production systems.

The role requires broad ownership across the stack, experience with modern C++, Python, AWS, Docker, Kubernetes, and data systems, plus a deep understanding of markets.

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