Description

The Checkpoint 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.

Major 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.

Desired Background

• 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