Principal Software Engineer – Data and Billing QA

Responsibilities

• Build agents and MCPs into our test harnesses to automate bug triage and generate agentic tests, so our coverage scales without scaling headcount
• Take on customer billing program testing, validating C++ logic against massive files output from the trading system
• Close the gap on our remaining untested revenue (ports, access fees, liquidity provider programs)
• Stand up testing for our next‑gen streaming stack (Java, Avro)
• Support our existing data streaming test suites, which have saved millions of dollars in losses and reputational damage
• Use our billing platform for forward‑looking revenue forecasting and strategy modeling
• Automate real‑time data testing via CI/CD (Jenkins)
• Eventually expand into billing/invoice testing for other Cboe products and services

• Vision and Leadership
• A strategic, forward-thinking mindset — you don't just solve today's problems, you design systems that scale
• Strong analytical skills and an exacting attention to detail
• The ability to build consensus, communicate clearly, and lead change across cross-functional teams
• AI and Automation (Critical Differentiator)
• Practical experience with tools such as Claude Code, OpenAI Codex, or similar
• Familiarity with agentic AI frameworks — Lang Chain, Auto Gen, or equivalents
• A builder's instinct: you see where AI can remove friction and you act on it
• Core Engineering Skills
• Strong Python, Java, and C++ programming chops
• Solid Linux skills (you'll help deploy our AI infrastructure)
• Hands‑on experience with Kafka, Avro, Kudu, Snowflake
• Data analytics, systems design
• Supporting Technical Skills
• Databases:
  PostgreSQL (preferred), MySQL or Oracle; working SQL proficiency required
• Atlassian toolset (Jira, Confluence)
• Experience with Git‑based version control
• CI/CD tooling experience, including Jenkins
• Bachelor's degree in computer science, engineering, or a related field — or equivalent experience

Demonstrates strong programming skills in Python, Java, and C++, with a focus on automation and data analytics. Capable of leading cross-functional teams and designing scalable systems while utilizing AI and automation tools to enhance operational efficiency.