Jobs at Cboe Global Markets

Support enterprise network infrastructure and end-user computing operations through troubleshooting, documentation, configuration reviews, automation, security administration, identity management, endpoint support, and collaboration technology assistance. The intern will work with experienced infrastructure teams, use Jira and Confluence to track work, explore AI-driven efficiency tools, complete a summer project, and present findings to leadership.

Manage and improve automated Linux infrastructure and on-premises Kubernetes platforms. Develop system software, middleware, APIs, and automation using Python, Bash, and configuration management tools. Maintain packages and repositories, support CI/CD integration, troubleshoot operating system, network, and container issues, implement security hardening, and participate in on-call support. Collaborate with application support, development, and security teams to ensure reliable, secure, and scalable infrastructure.

Leads platform-wide QA strategy and mentors engineers while designing automated UI, API, and integration testing frameworks. Validates end-to-end clearing workflows, data consistency, and distributed systems; defines test coverage, environments, and reproducible test data. Integrates automated testing into CI/CD pipelines and drives release confidence, resiliency, and defect reduction across trading and clearing applications.

Leads platform-wide QA strategy for a regulated clearinghouse, including automated UI, API, and integration frameworks; end-to-end clearing workflow validation; test data and environment management; release confidence metrics; CI pipeline integration; defect reduction; and quality mentorship across engineering teams.

Leads Cboe’s network automation and tooling function, including a Docker/Kubernetes agent platform, configuration management, telemetry, observability, intelligent alerting, and autonomous infrastructure operations. Manages multidisciplinary engineering teams, defines strategy and governance for agentic AI, partners with executive stakeholders, and drives automation across network, security, and telemetry domains. The role requires hands-on Python, Ansible, cloud-native infrastructure, agentic coding, network automation, Prometheus/Grafana, and safe production change practices.

Manage clearing product strategy, roadmap planning, requirements, feature releases, testing, and delivery for regulated listed products. Partner with Engineering, Infrastructure, Risk, Operations, clearing members, exchanges, and vendors to align stakeholders, resolve delivery risks, support integrations, and maintain operational excellence. Mentor analysts and contribute to client onboarding and education.

Design, implement, manage, and optimize enterprise storage systems using Hitachi and Pure Storage arrays. Administer Cisco MDS Fibre Channel switches, configure RHEL multipath, troubleshoot performance issues, coordinate vendor installations and upgrades, support cross-functional storage projects, document standards, and contribute to automation, replication, software-defined, and object storage initiatives.

Build and deploy production AI agents and agentic systems, develop reusable AI services, and establish evaluation, observability, and engineering standards. Partner with business stakeholders to scope opportunities, translate strategy into technical roadmaps, make architecture decisions, lead design reviews, document solutions, and mentor engineers. The role emphasizes context engineering, prompt design, retrieval, memory management, benchmarking, and reliable production deployment.

Designs, automates, and operates globally distributed cloud infrastructure for cloud-native applications. Responsibilities include managing Kubernetes platforms, GitOps workflows, CI/CD pipelines, system and database maintenance, incident response, performance tuning, and infrastructure automation. Leads cloud infrastructure projects, technical design reviews, standards development, documentation, and complex workstreams while mentoring engineers and collaborating with application, security, and operations teams.

The Senior IT Financial Analyst supports technology and market data spend through budgeting, forecasting, reconciliations, variance analysis, executive reporting, purchase order reviews, accruals, and prepaid schedules. The role builds dashboards, analyzes vendor costs and renewals, supports procurement systems, performs total cost of ownership analysis, and develops business cases. It partners with IT, Finance, Accounts Payable, Vendor Management, and business owners to strengthen controls, improve processes, and support informed technology investment decisions.

Manage third-party cyber risk by conducting vendor security assessments, reviewing controls and documentation, identifying vulnerabilities, prioritizing risks, developing remediation plans, monitoring vendor security posture, supporting cyber incident response, and assisting with regulatory examinations. The role also handles client due diligence requests, maintains questionnaire response libraries, coordinates cross-functional stakeholders, and supports vendor onboarding.

Develop and optimize real-time financial analytics software for financial instruments and portfolio analysis. Improve model performance, stability, and accuracy; analyze market and reference data; support production applications and customer questions; write technical specifications and documentation; collaborate with data teams, senior managers, and sales on presales engagements.

Develops and manages Cboe’s enterprise compliance training program. Responsibilities include creating and maintaining e-learning, microlearning, job aids, assessments, and related policies; translating regulatory requirements into accessible training; coordinating stakeholders and content reviews; managing the LMS; tracking completion and effectiveness metrics; preparing dashboards and reports; supporting annual compliance certification; and maintaining audit-ready training materials. Requires strong instructional design, writing, collaboration, analytical, and project-management skills.

Design, develop, and support high-performance distributed market surveillance systems processing billions of trading events daily. Build scalable data pipelines, rules engines, database solutions, and agentic LLM workflows using Java, Python, Snowflake, Kafka, and Linux. Optimize low-latency performance, create technical documentation, collaborate with stakeholders, support production systems through an on-call rotation, and contribute to application enhancements and engineering recruitment.

The Senior Surveillance Analyst reviews trading surveillance alerts, analyzes trading activity for potential violations of Cboe and SEC rules, and supports investigations and regulatory inquiries. Responsibilities include maintaining surveillance policies, developing surveillance concepts, validating work products, collaborating with regulatory technology and investigations teams, mentoring junior staff, and leading team projects. The role requires strong analytical, research, communication, and securities-industry knowledge.

Supports Cboe Clear US compliance through regulatory analysis, policy and procedure development, control enhancement, risk assessments, monitoring, testing, issue tracking, and remediation oversight. Prepares regulatory filings, examination and audit responses, compliance reports, and Board and committee materials. Partners with business, risk, operations, technology, and legal teams to address evolving CFTC and SEC requirements and strengthen the clearinghouse compliance program.

Owns strategy, operating cadence, KPI frameworks, reporting, automation, workforce planning, capacity modeling, and business cases for Cboe’s global Market Data Administration organization. The role queries operational data, builds dashboards and financial models, standardizes processes, supports technology adoption, and partners cross-functionally to improve scalability and enable senior leadership decisions.

Lead and grow a software engineering team responsible for clearing systems. Manage hiring and performance, guide architecture and design decisions, align roadmaps with product management, improve delivery and reliability metrics, establish engineering standards, shape team ownership, and oversee on-call and production support. The role requires capital markets or clearing knowledge and hands-on familiarity with modern Java-based platforms.

Lead and grow a developer experience engineering team responsible for internal platforms, CI/CD, observability, reliability, deployment tooling, disaster recovery, and production readiness. Own the platform roadmap as an internal product, improve engineering delivery metrics, define service objectives and error budgets, automate manual work, maintain architecture records, and partner with security and platform teams. The role includes hiring, performance management, reliability practice, and operating systems in a regulated financial infrastructure environment.

Lead the architecture and hands-on development of C#/.NET backend services, APIs, microservices, and real-time data pipelines for a trading platform. Own API contracts, versioning, security, observability, performance, testing, and highly available production systems. Partner with client integration and frontend teams, troubleshoot complex issues, establish engineering standards, support customers, and mentor engineers. The role requires expertise in distributed systems, low-latency development, streaming, databases, CI/CD, and API security.