Mac Detection Engineer

As a Mac Detection Engineer at SentinelOne, your main responsibilities will include researching macOS malware, creating detection rules, and responding to cyber incidents. You will collaborate closely with various teams, ensuring rapid resolution of any new issues while developing features that enhance our detection capabilities.

A strong background in macOS malware research is crucial for a Mac Detection Engineer at SentinelOne, along with an understanding of macOS internals and the Endpoint Security Framework. Additionally, experience in software development—especially in Objective-C—will set you up for success in this role.

SentinelOne values work-life balance and offers flexible working hours, a hybrid/remote work model, and generous flexible time-off policies. This ensures that Mac Detection Engineers can maintain their professional commitments while also looking after personal well-being.

At SentinelOne, Mac Detection Engineers have access to training resources, including the Udemy Business platform for further skill enhancement. We support ongoing educational activities and provide comprehensive benefits that foster professional growth and academic pursuits.

Working at SentinelOne offers a unique blend of tackling extraordinary challenges in cybersecurity within a supportive team culture. You will collaborate with industry experts and contribute directly to innovative product designs that shape the future of security.

The work environment at SentinelOne for a Mac Detection Engineer is collaborative and innovative, encouraging communication and teamwork across all departments. You'll be part of a values-driven culture that prizes trust, accountability, and ingenuity.

SentinelOne offers a competitive compensation package, flexible work arrangements, and extensive benefits such as private medical insurance, generous parental leave, gym memberships, stock options, and training resources, ensuring our Mac Detection Engineers experience all-around support.

When answering this question, highlight specific projects where you've researched macOS malware, discussing the methodologies you used and the outcomes of your work. Emphasize any tools or frameworks you utilized and how your findings contributed to detection strategies.

Discuss your understanding of the macOS Endpoint Security Framework, touching on its components and purpose. Provide examples of how you have implemented this framework in past projects to enhance security or detection mechanisms.

Explain your systematic approach to root-cause analysis, including the tools and processes you employ to identify and resolve issues. Highlight any relevant experiences where you successfully diagnosed and fixed complex OS problems.

Elaborate on your strategies for staying informed about cybersecurity trends, such as following industry leaders, attending conferences, and participating in forums. Discuss how you apply this knowledge to enhance detection capabilities.

Provide details about a specific project that involved detection architecture, focusing on your contributions to design and implementation. Reflect on the challenges faced, how you overcame them, and the lessons learned.

Discuss your approach to prioritizing tasks systematically, reflecting on factors like the severity of threats, customer impact, and product release schedules. Share a relevant experience that demonstrates your prioritization skills in action.

Highlight examples of successful collaboration with different teams, discussing specific projects and your role in bridging communication among stakeholders. Emphasize the outcomes of these collaborations.

Share your insights on current challenges facing macOS security, discussing specific threats or vulnerabilities. Offer your perspective on how a Mac Detection Engineer could address these issues effectively.

Present a specific detection rule you've developed or influenced, explaining its objective, how you crafted it, and the impact it had on malware detection effectiveness.

Discuss your preferred tools and technologies for malware analysis, justifying your choices based on features, usability, and effectiveness. Mention how these tools have aided you in previous roles.