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2 дня назад

Software Engineer (Java)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/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
Software Engineer (Java): Owning and extending a real-time portfolio risk engine for post-trade clearing systems with an accent on architecture, numerical correctness, reliability, and AI-assisted engineering. Focus on embedding an acquired codebase into the platform architecture, designing clear boundaries between quantitative models and platform services, and ensuring high availability, determinism, auditability, and explainability.

Location: Amsterdam, Netherlands or London, United Kingdom; four days in the office

Company

hirify.global provides financial market infrastructure, tradable products, and trading, clearing, and investment solutions.

What you will do

  • Own the Clearisq real-time portfolio risk engine within Cboe Clear Europe.
  • Define and maintain the target architecture across quantitative models, data pipelines, analytics, platform services, and integrations.
  • Lead architectural decisions, code quality, testing, observability, technical debt management, and modernization of vendor-originated code.
  • Ensure high availability, determinism, numerical correctness, reproducibility, auditability, and explainability of risk calculations.
  • Collaborate with Risk, Quant, Operations, Software Engineering, and external stakeholders to translate risk methodologies into robust software.
  • Promote safe AI-assisted engineering for code comprehension, development, refactoring, test generation, performance analysis, and incident learning.

Requirements

  • Strong experience designing and owning complex backend systems in Java.
  • Experience with data-heavy, computation-intensive platforms and large in-memory or time-series datasets.
  • Solid knowledge of software architecture, testing strategies, system observability, data structures, and numerical computing.
  • Hands-on experience using AI tools in daily engineering workflows and evaluating AI-generated code for production use.
  • Ability to reason about quantitative models and collaborate with quantitative or risk model developers.
  • Clear communication skills and the ability to lead technical discussions without direct people-management responsibility.

Nice to have

  • Python experience.
  • Experience in regulated or high-risk environments.
  • Experience collaborating with quants or risk model developers.

Culture & Benefits

  • Four-day in-office work model designed to support collaboration and team connection.
  • Opportunities for professional and personal development, leadership training, and internal mobility.
  • Inclusive workplace focused on collaboration, knowledge sharing, and career development.
  • Amsterdam office located in the city’s financial district with on-site restaurant and strong transport links.

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