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Site Reliability Engineer (Fintech)

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

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TL;DR

Site Reliability Engineer (Fintech): Providing first line support and root cause problem diagnosis within a real-time, distributed environment with an accent on application and infrastructure capacity planning and deployment. Focus on organizing application migrations and infrastructure upgrades, collaborating with colleagues, and managing multiple priorities.

Location: Gurugram, Sydney

Company

hirify.global is a technology-driven, next-generation global market maker providing institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products.

What you will do

  • Provide first line support and root cause problem diagnosis within a real-time, distributed environment.
  • Plan and deploy large-scale applications and infrastructure capacity.
  • Organize application migrations and infrastructure upgrades.
  • Collaborate with multiple colleagues and lead brainstorming and troubleshooting sessions.
  • Manage multiple priorities and deadlines.

Requirements

  • Good knowledge of UNIX/Linux command line.
  • Good understanding of the usage of TCP/IP and UDP networking in applications.
  • Basic understanding of network routing and troubleshooting.
  • Basic experience in writing SQL database queries.
  • Basic experience in Bash, Python or other scripting language.
  • Clear ability to manage multiple priorities and deadlines.

Nice to have

  • Trading desk support experience and knowledge of trading systems and applications.
  • Intermediate-level Python development experience.
  • Understanding of operating system performance tuning.

Culture & Benefits

  • Technology-driven environment.
  • Teams of engineers, traders, and researchers harness leading-edge quantitative research.
  • Accelerating power of compute, machine learning, and AI to power analytics.

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