Software Engineer-Python

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., 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., 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

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

This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Cboe is one of the world’s largest exchange holding companies, offering cutting-edge trading and investment solutions to investors around the world.