Sr. Software Engineer - Linux Sensor (Hybrid)

CrowdStrike Falcon Host is a two-component security product.

One component is a “sensor”: a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon Host cloud.

The sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and blocks malicious activity.

The cloud component aggregates sensor telemetry for each customer’s network, correlates malicious behavior across multiple machines, and presents our customers’ operations teams with a prioritized summary of the threats detected in their environments.

This is a Senior Software Development Engineer role in the engineering team that delivers the sensor (lightweight agent) on Linux.

SDE’s in the team own design and development of core features on the platform.

Features will cross-cut most core OS subsystems such as file system, memory, process, and networking.

Many features are also built in a way that they will have shared components across Windows and Mac.

The team operates under the Agile development principles and ships frequently.

PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

Design and develop Linux software for deployment on server

Own features from design to delivery

Collaborate with multi-functional team in various physical locations

Troubleshoot issues with the product as reported from customers responsively

Other projects as assigned

Can develop high-quality code in C/C++ and can demonstrate that capability, be it through job experience, schoolwork, or contributions to community projects

Experience on Linux or Unix developing product code with the following characteristics:

High concurrency requirements needing strong use of multi-threading

High reliability requirements

Detailed requirements on low-level operating characteristics (memory usage, efficient performance, correct conformance to external standards)

working on a team to ship major features and releases

Able to communicate, collaborate, and work effectively in a distributed team

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

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