Backend Software Engineer - Cloud & Machine Learning

Company: Exabeam
Location: San Mateo, California, United States
Type: Full-time
Posted: 13.AUG.2021
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Summary

Exabeam is a global cybersecurity leader that adds intelligence to every IT and security stack. We are reinventing the way security teams us...

Description

Exabeam is a global cybersecurity leader that adds intelligence to every IT and security stack. We are reinventing the way security teams use analytics and automation to solve threat detection, investigation, and response (TDIR), from common security threats to the most critical that are difficult to identify. The Exabeam Security Management Platform is a comprehensive cloud-delivered solution that leverages machine learning and automation using a prescriptive, outcomes-based approach to TDIR. It is designed and built to help security teams detect external threats, compromised users and malicious adversaries, minimize false positives, and make security success the norm. For more information, visit '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 production.As 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.ResponsibilitiesDesign 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.Requirements2-5+ 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 preferredExcellent 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 Blue Owl Capital, 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.

 
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