Why this role exists
BioCatch raised $2.4B Acquisition on 1 Aug 2026. This role went up 14 days later.
BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. What we're looking for: BioCatch delivers advanced behavioral insights, providing global organizations with actionable intelligence to create a secure and frictionless digital customer journey. We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals. Build and maintain a scalable cloud infrastructure in Production (Azure, GCP) Troubleshoot and fix Production infrastructure/platform issues Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance. Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.