$ cat jobs/staff-software-engineer-celonis-b534e4145771.json
Staff Software Engineer
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team Celonis USA is the fastest-growing division of one of the world’s fastest-growing companies. Come join us on the ground floor on a team led by experienced ex-FAANG coworkers dedicated to developing state-of-the-art technology for Celonis products. The team creates foundational solutions such as a mining engine that enables our customers to interactively execute process mining over enterprise-sized data sets, as well as innovative object-centric modeling tools that empower users to perform process-oriented business analysis in a natural and powerful way. In order to handle the strong growth of our customer base and their demands, we are heavily investing in performance and scalability to ensure that our platform scales efficiently and dynamically in a multi-cloud environment. Join us if you want to grow in your engineering knowledge, your career, and leave your mark on a rapidly growing company. The Role We are looking for senior backend developers who enjoy building systems with the capability to manage big data. Within our Query Engine and Core Mining teams, we are looking for a Staff Software Engineer, who develops and implements new features and algorithms for our core engine and increases the reliability and performance of existing components. With your general knowledge of working with modern C++, coupled with experience in developing high-performance large-sc
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