Cboe Global Markets

Cboe Global Markets

Software Engineer

Chicago, Illinois, United States of America · Mid

No sponsorship$108k-$139kDetected 22 days ago
PythonJavaBashDistributed SystemsBackend DevelopmentData StructuresAlgorithmsSQLSnowflakeLinuxKafkaData EngineeringLLMsAgentic AIResearchLeadershipCommunicationCollaborationProblem Solving

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$92,7891 entry
Level II$117,0832 entries
Level III$141,3983 entries
Level IV$165,6934 entries

$9,558 more — $117,083 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $117,083 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Chicago-Naperville-Elgin, IL-IN. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

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

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.
  • 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.
  • 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.

Requirements

  • 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
  • Participate in recruitment process as and when required for new engineering hires
  • 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
  • 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

Nice to have

  • Familiarity with streaming and big data technologies such as Apache Kafka a plus
  • Experience in finance, trading, exchange, or related fields is a plus

Compensation

  • Fair and competitive salary and incentive compensation packages with an upside for overachievement

Company info

  • 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.

Equal 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.

Visa & Work Authorization

  • This position is not eligible for visa sponsorship.

This listing is sourced directly from Cboe Global Markets's careers page and normalized into a canonical job model.