Software Engineer

Аналитика рынка

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Job Description:   Building trusted markets — powered by our people   At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. 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. We strive to provide employees a safe space to network, share ideas and create opportunities.   To support strong partnership and team connection, this role follows a four day in office work model. Location Overview Cboe HQ is located in the historic Old Post Office district, it’s a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River. With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative What We Do    Our Software Engineers design, develop, deploy, and support high-performance market surveillance systems that monitor trading activity across multiple global markets. We process massive datasets from equities, options, and futures exchanges in the U.S. and Europe. Our platforms are engineered to analyze billions of events per day, ensuring scalability and resilience as data volumes grow. Our mission is to deliver actionable insights that empower analysts to maintain fair, orderly, and compliant market operations. As a team, we value analytical thinking, humility, and continuous learning while solving complex challenges.  Job Summary   We are seeking a software engineer to design and build high-performance, distributed systems that process and analyze massive streams of trading data for regulatory surveillance. This role involves developing scalable data pipelines, implementing complex rules engines, and optimizing relational and Snowflake databases for large-scale workloads. You will work with technologies such as Java, Python, Snowflake, Kafka, and Linux. You will also use AI tools like Anthropic's Claude to accelerate your own development work and to design and build agentic workflows that automate engineering, SDLC, and surveillance analyst tasks. The ideal candidate has strong problem-solving skills, deep knowledge of data structures and algorithms, and experience building systems that handle billions of events daily in low-latency environments.  Responsibilities:   Collaborate with end-users to gather and refine functional requirements for complex, data-driven systems.  Produce detailed project documentation, including architecture diagrams, functional specifications, technical designs, and test plans.  Design, develop, test, and implement scalable data processing pipelines, rules engines, and database solutions leveraging Snowflake and relational databases.   Optimize system performance for large-scale, low-latency workloads handling billions of events daily.  Work closely with infrastructure teams to deploy and maintain applications on Linux-based environments.   Coordinate with cross-functional teams for new application development, troubleshooting, and system enhancements.   Leverage AI tools such as Anthropic's Claude to drive personal and team productivity gains across coding, testing, and documentation. Design, build, and maintain agentic workflows that automate repetitive engineering and surveillance tasks, integrating LLMs responsibly into production and internal tooling. Take ownership of projects as individual contributor, adapting to dynamic requirements.   Research emerging technologies, tools, and design patterns, including advances in AI and agentic systems, to improve scalability, resilience, and performance.   Provide ongoing application support and communicate technical concepts clearly to non-technical stakeholders.   Participate in a 24/7 production on-call rotation to ensure system reliability and uptime.  Participate in recruitment process as and when required for new engineering hires  Qualifications:   Bachelor’s Degree in Computer Science or related field   2+ years of software engineering experience in high-performance or distributed systems   Strong proficiency in  Java  and  Python  for backend development   Experience with  Linux  environments and at least one scripting language (e.g., Bash, Shell)   Hands-on experience with  SQL  and  Snowflake  for large-scale data processing   Familiarity with  streaming and big data technologies  such as  Apache Kafka  a plus  Solid understanding of  data structures, algorithms , and performance optimization techniques   Ability to design and implement  scalable, low-latency systems  handling billions of events daily Experience using AI coding assistants such as Anthropic's Claude for productivity and building agentic/LLM-powered workflows Excellent written and verbal communication skills for cross-functional collaboration   Self-motivated with the ability to work independently and manage multiple projects concurrently   Experience in finance, trading, exchange, or related fields is a plus  Benefits and Perks of working for Cboe Global Markets We value the total wellbeing of our people – including health,

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