Sr. Engineer - Security Research (Hybrid)

CrowdStrike
2 LocationsPosted 25 February 2026

Job Description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Team: You'll be joining CrowdStrike's Cloud Content Research team, a team focused on stopping real-world adversaries targeting cloud infrastructure. Our unique position within CrowdStrike allows us to work closely with our Threat Intelligence, OverWatch, and Incident Response teams, translating front-line observations of adversary tactics into effective detection capabilities. We combine deep cloud security expertise with innovative detection engineering to identify and stop sophisticated cloud threats. Our team creates advanced detection content and drives innovation in cloud security through close collaboration with Product and Engineering teams, who develop new detection capabilities based on our insights and requirements. We focus on both strategic research into emerging cloud attack techniques and rapid response to evolving adversary tactics observed in the wild. About the Role: As a Senior Cloud Detection Engineer, you'll be at the forefront of protecting organizations against sophisticated cloud threats, working with some of the industry's most advanced security technologies and enterprise-scale cloud environments. You'll have the unique opportunity to translate real-world adversary intelligence into innovative detection capabilities that protect many of the world's leading organizations across every major industry. Location: New York City or Austin (Hybrid) Candidate should be comfortable visiting the office twice a week once the development center is established. What You'll Do: Research and develop detection content for cloud-native attacks, including identity-based threats, data exfiltration, privilege escalation, cloud-native tactics Create correlation logic and between runtime events and control plane activities Design and implement detection logic across multi-cloud and hybrid environments Collaborate with Threat Intelligence, OverWatch, and Incident Response teams to develop detections based on real adversary activities Partner with Product and Engineering teams to enhance detection capabilities What You'll Need: Strong background in detection engineering or cloud security operations Deep understanding of cloud service provider architectures and security models Extensive experience creating detection content for cloud environments Proven ability to analyse large-scale security datasets Strong analytical and problem-solving capabilities Excellent collaboration and communication skills Desired Experience: Experience with major cloud providers (AWS, Azure, GCP, OCI) Familiarity with SIEM platforms and query languages (advantage: LogScale) Linux security and runtime detection experience Kubernetes security and detection experience Background in threat research, incident response, or red/blue team Experience with MITRE ATT&CK for Cloud Track record of improving detection efficacy What Sets You Apart: Experience developing detection content at scale Understanding of cloud-native attack techniques Ability to balance research insights with practical implementation Track record of cross-team collaboration in security projects #LI-DR1 #LI-Hybrid Benefits of Wo ... (truncated, view full listing at source)
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