CrowdStrike, Inc.Full timePosted 3 Days AgoR15979

　　#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We work on large scale distributed systems, processing over 1 trillion events a day with a petabyte of RAM deployed in our Cassandra clusters - and this traffic is growing daily. We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to developing and shaping our cybersecurity platform. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

　　About the Role:

　　In this role you will research and develop techniques for detecting malicious activity occurring on macOS systems. Once researched you will develop them into production level solutions for deployment in the endpoint sensor. The role is a split of research and implementation working alongside a small and nimble group of MacOS engineers and often leveraging shared code with other sensor platforms such as Windows and Linux.

　　Successful engineers in this role have: an understanding of macOS kernel and user space, a passion for continuous learning to keep up with an ever-changing threat landscape, a creative mindset for designing new detection methods and the discipline to write fast and reliable code.

　　What You'll Do:

　　Design and build detection logic and systems leveraged across teams within CrowdStrike to detect cyber attackers and stop breaches

　　Extend our existing codebase utilizing Swift, C++, Python, and other tools and DSLs (domain specific languages) as appropriate

　　Research techniques for detecting malicious activity including some reverse engineering and/or big data analysis

　　Leverage your understanding of engineering best practices, including topics like secure coding, testing paradigms, debugging, performance, code reviews, CI/CD and os internals, to ensure that our sensor code is fast and reliable

　　Troubleshoot issues with the product as reported from customers responsively and other projects as assigned

　　Be an energetic 'self-starter' with the ability to take ownership and be accountable for deliverables, both individually and when leading a team

　　What You'll Need:

　　5+ years of experience with either:

　　Reverse engineering, threat detection, and malware analysis; and an interest in on-device development, or

　　Designing, building, and delivering high-quality software in at least one of the following: Swift, C/C++, Python, Objective-C; and an interest in security.

　　Low-level OS knowledge of macOS and/or Linux operating system internals, components, APIs and/or frameworks.

　　Team player -- able to lead, mentor, communicate, collaborate, and work effectively in a distributed team, to clearly articulate thoughts & designs to peers and upper management

　　Preferred Qualifications:

　　Prior security experience, particularly in endpoint threat detections or sensor development. Familiarity with the threat landscape on Linux/Windows is a plus

　　Experience with macOS Frameworks and events relevant to security and recent familiarity with the recent developments in macOS

　　Experience developing 24/7 enterprise software, inc