Назад
Company hidden
10 дней назад

Trading Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Trading Engineer (Python/Kubernetes): Building and maintaining reliable trading software and low-latency infrastructure for high-volume data flows with an accent on production stability, availability, and safe daily releases. Focus on troubleshooting root causes, coordinating exchange migrations, and implementing sustainable solutions across trading, machine learning, and engineering systems.

Location: Amsterdam, Netherlands

Company

hirify.global is a research-driven trading firm building proprietary systems and algorithms with quantitative modeling, machine learning, and engineering.

What you will do

  • Troubleshoot production issues and resolve their root causes structurally.
  • Improve availability and eliminate downtime using open-source technologies.
  • Translate trading requests into technical requirements and implement sustainable solutions.
  • Coordinate, prioritize, and plan trading software changes, including exchange migrations and new feature releases.
  • Work with traders, quantitative researchers, developers, systems engineers, network engineers, and performance engineers across a high-volume, low-latency environment.

Requirements

  • 2+ years of experience as an SRE, System Engineer, DevOps Engineer, or MLOps Engineer.
  • Python and Bash scripting skills.
  • Experience with Kubernetes and database querying.
  • Solid understanding of Linux and basic understanding of TCP/IP protocols.
  • Strong troubleshooting, communication, interpersonal, and problem-solving skills.
  • Proactive attitude and motivation to learn and develop.

Nice to have

  • Experience building and maintaining machine learning pipelines.

Culture & Benefits

  • Technology is developed in-house and is central to the trading business.
  • Work in a research-driven environment combining quantitative modeling, machine learning, and engineering.
  • Collaborate across trading, research, software, systems, networking, and performance disciplines.
  • Build proprietary systems and algorithms operating across global markets.

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