Real-Time Java Engineer for Equities Trading Platform

HSBC

Ciudad de México

Presencial

MXN 900.000 - 1.400.000

Jornada completa

Hace 2 días
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Descripción de la vacante

HSBC Global Service Center in Mexico City is seeking a Cash Equities Software Engineer with a strong command of Java and a track record in low-latency systems. The role focuses on enhancing HSBC’s electronic trading platform, ensuring scalability, performance and alignment with front-office needs.

Ideal candidates will work across time zones, embrace automated workflows, and leverage container runtimes (Docker/Kubernetes) and messaging systems (Kafka/Aeron) to drive data-driven optimizations and

Formación

  • Deep hands-on experience in software engineering for low-latency or real-time systems.
  • Excellent Java proficiency, including concurrency, tuning, and memory management.
  • Strong Linux/UNIX command line skills and debugging abilities.
  • Experience with Equities/Capital Markets/Low Latency is highly desirable.
  • Familiarity with container runtimes (Podman, Docker) and orchestration (Kubernetes).
  • Exposure to AI-assisted maintenance and data-driven profiling is a plus.

Responsabilidades

  • Design, implement and deploy enhancements to HSBC’s electronic trading platform.
  • Support and optimize existing components with a focus on reliability and performance.
  • Collaborate with engineers across time zones to deliver robust solutions.
  • Automate repetitive tasks and reduce toil through tooling and CI/CD pipelines.
  • Contribute to strategy implementation aimed at improving efficiency of the area.

Conocimientos

Java
Low latency
Linux CLI
Debugging
Data-driven

Herramientas

Docker
Kubernetes
Podman
Aeron
Kafka

Descripción del empleo

HSBC Global Service Center in Mexico City is seeking a Cash Equities Software Engineer with a strong command of Java and a track record in low-latency systems. The role focuses on enhancing HSBC’s electronic trading platform, ensuring scalability, performance and alignment with front-office needs.

Ideal candidates will work across time zones, embrace automated workflows, and leverage container runtimes (Docker/Kubernetes) and messaging systems (Kafka/Aeron) to drive data-driven optimizations and

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