The Check Point XPR (Extended Prevention and Response) team is dedicated to constructing the next-generation XDR SaaS platform. XPR offers a unified interface covering Incident Management, Threat Hunting & Asset Management and Automated Prevention.
The XPR Analytics group is actively seeking a dynamic and skilled Software Engineer to join our Analytics Cloud team in a startup-like environment and contribute to shaping, leading, and delivering our innovative cybersecurity solution.
The Analytics Cloud team is responsible for building a scalable and reliable data analytics solution in the cloud. This solution aims to transform a multitude of security detections into a coherent and concise attack picture and response procedure.
Key Responsibilities
Lead the design and implementation of reliable, scalable, and performant SaaS service data pipelines making use of modern toolsets and managed services.
Working proactively to make sure tasks get done end-to-end. Working within and across team boundaries to push tasks to completion.
Work closely with our team of data scientists and analysts, who are responsible for developing algorithms, analytical rules, and machine learning data models.
Requirements: 5+ years of experience in building highly scalable cloud-based services.
High proficiency in cloud native services (Serverless, Blob Storage, S3, Container Apps, E/AKS).
Extensive experience in designing and implementing event-driven and/or microservice services and solutions.
B.Sc. in Computer Science from a leading University or College.
It would be great if you also have:
Experience in building data engineering solutions.
Experience in cybersecurity solution development.
Experience in developing Azure cloud services.
Experience creating and optimizing big data processes, pipelines, and architectures on cloud-native environments (Databricks, Synapse, EMR, ADX, HDInsight)
Proficiency with SQL, Python, and one of Java/Scala/CPP
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