Senior Lead Software Engineer in Amsterdam

We provide the financial infrastructure that powers the global economy.

Controleer alstublieft of u het juiste niveau van ervaring en kwalificaties heeft door het volledige overzicht van deze vacature hieronder te lezen.

As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader.

Our teams are empowered to share ideas, actively pursue them and bring on a challenge.

As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level.

To support strong partnership and team connection, this role follows a four day in office work model.Location OverviewOur offices are located in the prestigious Symphony Offices in the heart of Amsterdam’s financial district.

The modern layout provides a comfortable and inspiring environment for work, with a well-designed breakout area for informal meetings and relaxation.The building also features a restaurant on the ground floor, making it convenient for meals and client lunches.

With excellent transportation links, the office is easily accessible—just under a 20-minute journey from Schiphol Airport and Amsterdam Centraal.Role ContextCboe Clear Europe (CCEU) is a systemically important financial institution, providing post-trade services to stock exchanges, multilateral trading facilities, other equities trading platforms and for OTC equities trades.

Headquartered in Amsterdam, we service trading platforms and we have clearing participants with headquarters in 14 jurisdictions in Europe, North America and Asia.Now we need to embed this system in our architecture and extend it to incorporate additional risk-related calculations like liquidity stress tests, but also prepare it for potential usage within the broader Cboe Global Markets group.The Tech Lead Clearisq will provide technical ownership and direction for this platform within CCEU Software Engineering.

The role is about technical leadership, with no direct people management, and focuses on architecture, code quality, technical decision‑making, change delivery and long‑term sustainability of the Clearisq codebase, in close collaboration with Risk, Quant, and Operations stakeholders.The Clearisq team will consist of:1 Tech Lead (this role)1 Backend Engineer (Java/Python, platform & integration focus)1 Quant Engineer / Product Owner (Python, quantitative and model‑heavy logic)Adjacent to this team, there is a variety of other engineering teams for different business domains and areas like Data Engineering and Platform Engineering.Key ResponsibilitiesThe Tech Lead is expected to work hands‑on across the stack, while clearly delineating responsibilities between platform engineering concerns and quantitative model implementation.Quantitative modelsData pipelines and analyticsPlatform services and integrationsDrive architectural decision records (ADRs) and align with CCEU architecture governance.Code Quality, Reliability & Risk AwarenessSet and enforce engineering standards for correctness, performance, testing, and observability.AI‑Assisted Software EngineeringAct 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 of a complex acquired codebaseCode development for changesRefactoring and modernizationTest generation and validation scenariosLog analysis, performance investigation, and incident learningin line with CCEU and Cboe‑wide AI adoption initiatives.Establish guardrails to ensure AI usage enhances quality, security, and correctness rather than eroding them.Data & Quantitative AwarenessPossess deep understanding of data‑intensive systems, including:Large in‑memory datasetsTime‑series and historical simulationsPerformance‑sensitive numerical computationCollaborate closely with the Quant Engineer to:Translate risk methodology into robust software constructsChallenge assumptions where model design meets system constraintsEnsure clean separation between model logic and platform mechanics.Stakeholder Collaboration & Soft SkillsServe as the technical interface between Software Engineering, Risk, Quant, Operations, and external stakeholders.Communicate complex technical trade‑offs clearly to non‑engineers.Contribute to cross‑team alignment in a multi‑domain clearing platform.Required Skills & ExperienceCore Technical SkillsStrong experience designing and owning complex backend systems in Java, with Python exposure in the past being a strong plus.Proven track record with data‑heavy, computation‑intensive platforms.Solid understanding of software architecture, testing strategies, and system observability.AI‑Assisted EngineeringDemonstrated, 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 interest in continuously improving engineering effectiveness through tooling and automation.Data & Quant BackgroundStrong foundation in data structures, numerical computing, and analytical problem‑ is a software engineering leadership role with strong quantitative awareness.Benefits and Perks of working for Cboe Global MarketsWe value the total wellbeing of our people - including health, financial, personal and social wellness.

We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed.

We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

We are committed to fostering a workplace where all individuals are valued and respected. xbelvxb

#LI-CP1Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.SummaryLocation: Amsterdam, NLType: Full time