Job Description Cboe is one of the largest exchange operators in the world and the mission of our technology team is to disrupt the status quo with a relentless focus on innovation that transforms new ideas into realities. Our Software Engineers work on high-performant, reliable systems which runs our global exchanges. Our real-time software engineering team designs, develops, deploys and supports real-time systems. We care deeply about system reliability, testability, recoverability, fault tolerance, throughput, and latency. We measure times in microseconds, sometimes even nanoseconds. Our engineers have a strong understanding of computer science fundamentals and software engineering. We are analytical thinkers. We are always learning our craft. If it’s broken, we fix it. If it needs refactoring, we refactor it. If it’s hard to test, we make it testable. We like statistics. We love automation. We are pragmatic. We ship code weekly. Location: Sydney, Australia ResponsibilitiesDesign, implement, extend and maintain software functionality, often requiring advanced knowledge and experience.Implement automated unit tests. Test changes to systems and platform functionality prior to deployment and work to resolve identified systemic issues.Help with production operations. Ensure features are correctly implemented in certification and production environments.Provide input to sprint planning and participate in periodic team meetings.Mentor junior software engineers.SME for one or more systems/technology.Participate in peer code reviews.On-call and after-hour support will be required for this role.Participate in weekend tests. Experience:B.S. Computer Science (preferred), B.S. Computer/Software Engineering, or demonstrable equivalent knowledge.10+ years’ experience is required.Must have strong programming skills in C++.Experience with other software development languages including Python is desirable.Functional programming skills in SQL.Willing to work under pressure and attention to detail.Financial markets experience a plus (market data, reference data, risk).STEM background with an interest in financial markets, derivatives pricing, quantitative modeling, and risk analytics.Strong Linux background.Strong ability to work within a global team, prioritise tasks, demanding environment and deliver on aggressive deadlines.DESIRABLE: Capital Markets Experience and Python. Specific Skills:Must have proven ability to perform low level profiling and C++ application optimization. Specific financial industry related experience is a plus: I/O throughput optimization, memory efficiency, complex multi-threading.Demonstrate ability to work as a self-starter requiring limited supervision; take ownership of projects from start to finish from requirements and specifications to QA testing, documentation and production release.Ability to multi-task, prioritise and manage time effectively in a deadline driven environment.
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