The Voleon Group
Łukasz M. is a skilled DevOps Engineer with extensive experience in infrastructure and systems management, currently employed at The Voleon Group since February 2019. Previously, Łukasz held roles as a DevOps Tools Engineer at Recurly, a Site Reliability Engineer at MZ, and an Infrastructure Engineering Team Lead at Oktawave, where leadership and engineering responsibilities were combined. Łukasz has a strong background in managing and optimizing cloud environments and IT systems, utilizing key technologies such as Ruby on Rails, AWS, Docker, and Kubernetes. Early career experience includes serving as a System and Network Administrator at Polskie Radio RDC, where Łukasz implemented cost-saving solutions and automation. Łukasz holds a Bachelor of Science in Computer Science from the Military University of Technology, obtained in 2011.
The Voleon Group
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Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning. The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.