C

Cboe

Operates exchange networks for derivatives trading

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeAmsterdam, Netherlands

About the Job

Requirements

  • Strong experience designing and owning complex backend systems in Java; prior exposure to Python is a strong plus.
  • A proven track record with data-heavy, computation-intensive platforms.
  • A solid understanding of software architecture, testing strategies, and system observability.
  • Hands-on experience using AI tools as part of the daily engineering workflow.
  • The ability to critically evaluate AI-generated output and integrate it safely into production-grade systems.
  • A strong foundation in data structures, numerical computing, and analytical problem-solving.
  • The ability to reason about quantitative models without necessarily being the primary model author.
  • Clear, structured written and verbal communication skills.
  • The ability to lead technical discussions and challenge ideas constructively.
  • Pragmatism, calmness, and accountability in high-pressure environments.
  • A strong sense of ownership and intrinsic motivation.

Responsibilities

  • Act as the technical owner of the Clearisq codebase within CCEU.
  • Define and maintain the target architecture, including boundaries between quantitative models, data pipelines and analytics, and platform services and integrations.
  • Drive architectural decision records and align with CCEU architecture governance.
  • Balance pragmatic delivery with long-term maintainability in a safety-critical central counterparty context.
  • Set and enforce engineering standards for correctness, performance, testing, and observability.
  • Ensure the platform meets high-availability, determinism, and auditability expectations typical for central counterparty risk systems.
  • Own the technical approach to numerical correctness, reproducibility, and explainability of calculations.
  • Proactively manage technical debt, lifecycle concerns, and vendor-originated legacy code.
  • Use AI tools for code comprehension of a complex acquired codebase, code development, refactoring and modernization, test generation and validation scenarios, log analysis, performance investigation, and incident learning, in line with CCEU and Cboe-wide AI adoption initiatives.
  • Establish guardrails to ensure AI usage enhances quality, security, and correctness.
  • Work with large in-memory datasets, time-series and historical simulations, and performance-sensitive numerical computation.
  • Collaborate with the Quant Engineer to translate risk methodology into robust software constructs and challenge assumptions where model design meets system constraints.
  • Ensure clean separation between model logic and platform mechanics.
  • Serve as the technical interface between Software Engineering, Risk, Quant, Operations, and external stakeholders.
  • Communicate complex technical trade-offs clearly to non-engineers.
  • Surface risks, constraints, and dependencies early.
  • Contribute to cross-team alignment in a multi-domain clearing platform.
  • Work hands-on across the stack while clearly delineating responsibilities between platform engineering concerns and quantitative model implementation.

Desired Qualifications

  • Experience operating in regulated or high-risk environments.
  • Experience collaborating with quants or risk model developers.
  • Python exposure in backend systems.

About the Company

Cboe

Operates exchange networks for derivatives trading

Cboe Global Markets operates an exchange network that lists and trades a wide range of financial instruments, including global derivatives, foreign exchange, digital assets, and securities. Its platform matches buy and sell orders, clears and settles trades, and earns revenue from transaction fees and market data. The company serves institutional investors, retail investors, and financial intermediaries through a global infrastructure that facilitates trading and data services. Unlike firms that focus on a single asset class, Cboe offers multiple asset classes and a long history (over 50 years) to provide broad market access and reliable infrastructure. The goal is to power the global economy by creating inclusive markets and helping investors build sustainable financial futures, while also supporting community growth and employee development.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Chicago, IL
Founded
1973

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