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Be a part of the team that is instrumental in constructing one of most exciting security solutions, and work on an innovative new product. In an era of increasingly sophisticated cyber-attacks, the Security Exposure Management security suite has emerged as a vital tool for enterprises, enabling them to identify, scrutinize, counter advanced breaches and data intrusions within their networks and manage their security posture.
Responsibilities:
We are seeking a security researcher, who enjoys unraveling the mysteries and unique patterns of corporate computing environments and attackers techniques in enormous scale of signals and security mechanisms, to join our Israeli research team and help provide our customers with tools to improve their security posture. The job includes performing both low level and high-level research of attackers techniques, security mechanism and controls, and data analysis over various types of telemetries.
Responsibilities include:
Analyze and research security controls, attackers techniques and anomalous patterns
Explore massive amounts of data to come up with new security posture insights, which can then be translated into security recommendations for our customers
Work together with the different engineering teams to develop the code to support the research findings
Collaborate with multiple product teams to design sensors, implement discovery & detection logics and validate their effectiveness using a data-driven approach
Collaborate with data science teams to understand and identify detection gaps, capabilities, assumptions and improvements
Collaborate with other teams across and come up with innovative ideas which should be part of future versions of the product

ou'll be joining the core engine team as a Senior/Principal Engineer, responsible for the technology that processes dozens of petabytes daily across hundreds of services and Azure's Top 100 enterprise customers.
Our engine is the foundation for critical products including Azure Data Explorer, Fabric's Real-Time Intelligence, Azure Log Analytics, and Defender for Cloud. It enables internal observability for hundreds of services and delivers lightning-fast analytics for organizations worldwide.
As a Senior/Principal Engineer on this team, you'll lead projects that advance the core Kusto engine by driving new capabilities, optimizing distributed query execution, enhancing ingestion, and solving complex engineering challenges in performance and scalability at petabyte scale.
Responsibilities:
Partner with internal and external stakeholders to determine customer requirements, gather feedback, and ensure the engine meets their needs
Own and lead architectural discussions for complex aspects of projects within the Kusto engine and drive dependency identification and the design
Collaborate with partner teams across to ensure integration, testing, scalability, performance standards, and live-site coverage
Design and spearhead implementation of key projects in the Kusto engine core, from conception through delivery
Enhance existing engine components for even better performance, scalability, and maintainability
Provide technical leadership and mentorship to engineers, guiding them to produce maintainable, secure, performant code and establish test strategies that ensure quality
Lead collaboration with geographically distributed teams across and cross-functional disciplines

our mission is to empower every person and every organization on the planet to achieve more. As an HR Generalist Intern, youll join a dynamic team that drives impact through data-driven insights, AI innovation, and meaningful HR initiatives. This is your opportunity to learn, collaborate, and contribute to projects that shape employee experiences and enable a One approach.
Responsibilities:
Project management: Support the execution of HR programs and projects that enhance employee experience and operational excellence.
Partner with cross-functional teams to promote collaboration and continuous improvement.
Data analysis: Pull and analyze HR reports, integrate insights, and provide clear recommendations using analytics and AI tools. Identify trends, patterns, and anomalies in HR metrics to support data-driven decision-making.
Assist in implementing HR processes into the lived experiences of employees, managers, and leaders.
Champion the practical adoption of AI tools within the HR team.