Jobs › Cboe Global Markets

Software Engineer

Cboe Global Markets · Chicago, IL · $107,525–$139,150 a year · Full time

Posted Sep 25, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a production issue you helped fix. What was the cause, and what did you change so it would not happen again?

What they are checking: Whether they own problems end to end, including prevention, not just the quick fix.

Describe a code review where you learned something important.

What they are checking: Whether they treat review as a way to learn and improve, not just a gate.

How do you decide when code is good enough versus when it needs more work?

What they are checking: Whether they balance quality and delivery, which matters for software that must be reliable.

What would you do

Your change is ready but the release window is tomorrow morning before the market opens. Would you ship it?

What they are checking: Whether they weigh risk to live markets and follow change control rather than rushing.

A requirement is unclear and the product owner is unavailable. How do you proceed?

What they are checking: Whether they make reasonable assumptions, write them down and check back rather than stalling.

About the work

Walk me through how an order might flow through an exchange's systems, from a member's message to a trade confirmation.

What they are checking: Whether they can reason about matching, messaging and state in a trading system even without exchange experience.

How would you design a data structure for a limit order book that needs fast inserts, cancels and matches?

What they are checking: Whether they choose structures with the right performance tradeoffs for latency-sensitive code.

How do you find and fix a performance problem in code you did not write?

What they are checking: Whether they measure with profiling before changing code instead of guessing.

What are common pitfalls in concurrent code, and how have you avoided them?

What they are checking: Whether they understand race conditions, locking and memory visibility in practice.

How do you write tests for code that depends on timing or external market data?

What they are checking: Whether they can make tricky code testable with clean seams and deterministic inputs.

Practice this interview out loud.

Offer builds a real interview for this exact role at Cboe Global Markets from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.

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The full job description

As published by Cboe Global Markets.

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, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: • Fair and competitive salary and incentive compensation packages with an upside for overachievement • Generous paid time off, including vacation, personal days, sick days and annual community service days • Health, dental and vision benefits, including access to telemedicine and mental health services • 2:1 401(k) match, up to 8% match immediately upon hire • Discounted Employee Stock Purchase Plan • Tax Savings Accounts for health, dependent and transportation • Employee referral bonus program • Volunteer opportunities to help you give back to your communities Some of our associates’ favorite benefits and perks include: • Complimentary lunch, snacks and coffee in any Cboe office • Paid Tuition assistance and education opportunities • Generous charitable giving company match • Paid parental leave and fertility benefits • On-site gyms and discounts to other fitness centers • Paid Time Off More About Cboe Global Markets We’re reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn . Equal Employment Opportunity We're proud to be an equal opportunity employer who 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. We are committed to fostering a workplace where all individuals are valued and respected. 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. Salary Ranges (applicable for US locations only) At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $107,525-$139,150, with actual compensation determined by job‑related factors such as skills, relevant experience, education, internal alignment, and location. This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs. Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE . ​ Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

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