Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в известной количественной инвестиционной компании включает серьёзную работу с продакшен-системами, но дежурства остаются постоянной частью обязанностей.
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Дежурства в продакшенеСовременный стекКвантовые финансы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Reliability Engineer (Python) (Investment Management): Building and operating automation, monitoring, and reliability systems for live and historical investment data platforms with an accent on observability, scalability, availability, and production operations. Focus on developing Python-based tooling, improving automated checks and change management, and supporting critical data pipelines in collaboration with software engineering teams.
Location: London, United Kingdom
Company
hirify.global is a quantitative investment management and trading firm applying technology, artificial intelligence, data science, and quantitative research to investment decisions.
What you will do
Develop systems, services, tools, and libraries for reliability engineering.
Improve software observability, operability, scalability, and availability.
Build and maintain primarily Python-based automation software for maintainable and scalable systems.
Apply rigorous change management and continuously improve tests and automated checks.
Collaborate with software engineering teams on architecture, product design, reliability, performance, support issues, and tooling improvements.
Operate and monitor a production-critical environment and participate in a support rotation for critical production and research data pipelines.
Requirements
Bachelor’s degree, equivalent, or higher in computer science or another highly technical or scientific discipline.
Proactive approach to identifying and resolving problems, continuous development, and automation.
Proficiency in one or more object-oriented scripting languages, such as Python, Ruby, or JavaScript.
Proven experience automating processes and applying algorithmic problem-solving.
Some knowledge of UNIX or Linux systems.
Nice to have
Experience with distributed systems and low-latency applications on Linux.
Experience with networking fundamentals.
Experience working directly with counterparties to resolve issues in a trading environment.
Experience with Python.
Culture & Benefits
Work in a quantitative investment management and trading environment.
Collaborate with engineers, quantitative researchers, and data scientists on complex economic problems.
Equal opportunity workplace with nondiscrimination across legally protected characteristics.
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