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1 день назад

Lead 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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TL;DR
Lead Software Engineer (Java): Owning and extending the Clearisq real-time portfolio risk platform for post-trade clearing, with an accent on architecture, numerical correctness, reliability, and AI-assisted engineering. Focus on separating quantitative models from platform services, modernizing vendor-originated code, and building auditable, deterministic systems for safety-critical risk calculations.

Location: Amsterdam, Netherlands or London, United Kingdom; hybrid model with four days in the office.

Company

hirify.global provides financial market infrastructure, trading, clearing, and investment solutions, including post-trade services through Cboe Clear Europe.

What you will do

  • Own the Clearisq codebase and define its target architecture across quantitative models, data pipelines, analytics, platform services, and integrations.
  • Drive architectural decision records, engineering standards, testing strategies, observability, and long-term codebase sustainability.
  • Ensure high availability, determinism, numerical correctness, reproducibility, explainability, and auditability for the clearing risk platform.
  • Extend the real-time portfolio risk engine with additional risk calculations, including liquidity stress tests, and prepare it for broader Cboe usage.
  • Use AI tools for code comprehension, development, refactoring, test generation, log analysis, performance investigation, and incident learning while establishing quality and security guardrails.
  • Act as the technical interface between Software Engineering, Risk, Quant, Operations, and external stakeholders without direct people management responsibilities.

Requirements

  • Strong experience designing and owning complex backend systems in Java, with Python exposure.
  • Proven experience with data-heavy, computation-intensive platforms and large in-memory datasets.
  • Strong knowledge of software architecture, testing, observability, data structures, numerical computing, and analytical problem-solving.
  • Hands-on experience using AI tools in daily engineering workflows and evaluating AI-generated output for production use.
  • Ability to reason about quantitative models and collaborate with quant or risk model developers.
  • Clear communication skills and the ability to lead technical discussions and make accountable decisions in high-pressure environments.

Nice to have

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

Culture & Benefits

  • Hybrid work environment with a four-day in-office model supporting team connection.
  • Health, financial, personal, and social wellbeing benefits, including pension, income protection, accident insurance, and business travel insurance.
  • Annual leave and enhanced maternity, paternity, adoption, compassionate, community service, and school visit leave.
  • Learning and development support through LinkedIn Learning, education assistance, leadership programs, and career development initiatives.
  • Employee stock purchase plan, commuting allowance, subsidized lunch, fitness membership, and employee assistance program.
  • Working abroad days allowance and internal mobility opportunities.

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