Senior macOS Sensor Engineer — Remote/Hybrid

CrowdStrike Inc.; Annapolis (MD); Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Market leader in compensation and EQUl

Equity awards

Wellness programs

Vacation and holidays

Parental leaves

Professional development

Office culture

Job summary

CrowdStrike, a global cybersecurity leader, is seeking a Sr. Engineer - macOS for the Sensor Foundation. You will design and develop the macOS sensor, a lightweight agent that drives Falcon endpoint protection, with cross-cutting OS subsystems such as file system and memory.

The role emphasizes collaboration across a distributed team and rapid delivery of core features. Join CrowdStrike to work on AI-native security technologies, scale processing of vast event data, and contribute to a

Qualifications

• Proven ability to write high-quality C/C++ and Swift code for macOS.
• Experience developing macOS product code with high concurrency and low-level performance considerations.
• Experience shipping major features as part of a team.
• Ability to communicate and collaborate effectively in a distributed team.
• Proven experience using AI technologies to enhance decision making and efficiency.

Responsibilities

• Design and develop software for deployment on macOS systems.
• Own features from design to delivery.
• Collaborate with multi-functional team in various locations.
• Troubleshoot issues with the product as reported by customers.
• Other projects as assigned.

Skills

C/C++

Swift

macOS development

Concurrency

Multithreading

AI tech

Distributed team

Job description

CrowdStrike, a global cybersecurity leader, is seeking a Sr. Engineer - macOS for the Sensor Foundation. You will design and develop the macOS sensor, a lightweight agent that drives Falcon endpoint protection, with cross-cutting OS subsystems such as file system and memory.

The role emphasizes collaboration across a distributed team and rapid delivery of core features. Join CrowdStrike to work on AI-native security technologies, scale processing of vast event data, and contribute to a