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About the Role

The Tech Lead Clearisq will provide technical ownership and direction for the Clearisq platform within CCEU Software Engineering. This role focuses on architecture, code quality, technical decision-making, change delivery, and long-term sustainability, in close collaboration with Risk, Quant, and Operations stakeholders. The role involves hands-on work across the stack, balancing pragmatic delivery with long-term maintainability in a safety-critical CCP context.

Responsibilities

Act as 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 (ADRs) and align with CCEU architecture governance.
Balance pragmatic delivery with long-term maintainability in a safety-critical CCP context.
Set and enforce engineering standards for correctness, performance, testing, and observability.
Ensure the platform meets high availability, determinism, and auditability expectations typical for CCP 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.
Act as a role model and multiplier for AI-assisted engineering practices within the team and the wider software engineering department.
Leverage AI tools for code comprehension, development, refactoring, test generation, log analysis, and performance investigation.
Establish guardrails to ensure AI usage enhances quality, security, and correctness.
Possess deep understanding of data-intensive systems, including large in-memory datasets, time-series and historical simulations, and performance-sensitive numerical computation.
Collaborate closely with the Quant Engineer to translate risk methodology into robust software constructs, challenge assumptions where model design meets system constraints, and 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.
Actively surface risks, constraints, and dependencies early.
Contribute to cross-team alignment in a multi-domain clearing platform.

Requirements

Strong experience designing and owning complex backend systems in Java.
Proven track record with data-heavy, computation-intensive platforms.
Solid understanding of software architecture, testing strategies, and system observability.
Demonstrated, hands-on experience using AI tools as part of the daily engineering workflow.
Ability to critically evaluate AI-generated output and integrate it safely into production-grade systems.
Strong foundation in data structures, numerical computing, and analytical problem-solving.
Ability to reason about quantitative models without necessarily being the primary model author.
Clear, structured communicator with strong written and verbal skills.
Comfortable leading technical discussions and challenging ideas constructively.
Pragmatic, calm, and accountable in high-pressure environments.
Strong sense of ownership and intrinsic motivation.

Skills

Java
Python
AI-assisted engineering
Data-intensive systems
Numerical computing
Software architecture
Testing strategies
System observability

Location

Amsterdam

Work Type

Four day in office work model

Experience Level

Technical leadership

About the Company

Cboe Global Markets provides the financial infrastructure that powers the global economy, offering cutting-edge trading, clearing, and investment solutions.
Cboe empowers employees with professional and personal development opportunities, fostering internal mobility and access to opportunity.
Cboe Clear Europe (CCEU) is a systemically important financial institution providing post-trade services.
Cboe is reimagining the future of the workplace by focusing on people, investing in leadership programs and career development initiatives.
Cboe teams work with purpose, solving problems with ingenuity, collaboration, and passion.

Equal Opportunity

Cboe is proud to be an equal opportunity employer and does not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or Veteran status.
Cboe is committed to fostering a workplace where all individuals are valued and respected.