Software Engineer Backend and Machine Learning
Posted on Jan 18, 2021 by Exabeam
From the CISO to the analyst, Exabeam helps security teams outsmart the odds by adding intelligence to their existing security tools - including SIEMs, XDRs, cloud data lakes and hundreds of other business and security products. Out-of-the-box use case coverage delivers repeatable outcomes. Behavioral analytics allows security teams to detect compromised and malicious users that were previously difficult, or impossible, to find. And alert enhancement and automated timeline creation help overcome staff shortages by minimizing false positives and reducing the time it takes analysts to detect, triage, investigate and respond to incidents by 51 percent. For more information, visit . Exabeam's data science team is responsible for performing forward-looking research in algorithms for Exabeam's next generation security information analytics system on the cloud. The team is also responsible for prototyping and implementing critical data science-centric components and services for an experienced developer, you will be working in the data science team, co-architecting, prototyping, implementing and supporting existing and new analytics deployments. You either have some prior data science background or are mathematically inclined to learn in order to work with the data scientists. You will take ownership in developing features and subsystems using Exabeam's cloud-based technology stack, and participate in all aspects of product definition and continued system improvements. We are looking for a strong developer who has an interest in learning and working with data science topics and cares about producing clean, elegant, maintainable, readable, robust, and well-tested code; you enjoy collaborating with others to come up collectively with the best possible solution in performance, scalability, and reliability. Responsibilities Design and develop components and cloud-based services in Scala, addressing machine-learning centric data engineering issues in parallelization, speed, memory, and storage optimization . Produce clean, elegant, maintainable, robust and well-tested codeContribute to design decisions and collaborate with team members. Handle internal or external customer issues and assist with troubleshooting sessionsParticipate in research process and build prototypes as necessary. Requirements 5-7+ years experience in software engineering. M.S. or higher in Computer Science or related disciplines. Past data science education and research experience is a plus. Solid experience in server side Java and a desire to learn functional programming language, Scala, if not proficient already. Experience with distributed data processing development and multi-tenant services desired. Experience with big data engineering technologies such as Spark, Kafka, Flink, Presto, etc, is desired. Experience building complex systems with high performance, scalability and reliability requirements strongly preferred Excellent communication skills. Exabeam is privately funded by Lightspeed Venture Partners, Cisco Investments, Norwest Venture Partners, Acrew Capital, Icon Ventures, and investor Shlomo Kramer. For more information visit or follow us on LinkedIn and Twitter . Exabeam is privately funded by Lightspeed Venture Partners, Cisco Investments, Norwest Venture Partners, Acrew Capital, Icon Ventures, and investor Shlomo Kramer. For more information visit or follow us on LinkedIn and Twitter .