Staff Threat Researcher, SentinelOne

• Expertise in malware analysis (both static and dynamic), reverse engineering, unpacking, and deobfuscation using tools like IDA Pro, Ghidra, x64dbg, and behavioral sandboxes (Cuckoo, CAPE, etc.)
• Strong understanding of endpoint security technologies, especially EDR platforms and the internal workings of how detection signals are generated and triaged
• Deep knowledge of operating system internals (Windows, Linux), including memory management, process/thread architecture, registry, and system calls. Familiarity with Extended Berkeley Packet Filter (eBPF) and container security is highly valued
• Proficient in threat intelligence frameworks and methodologies, including the Diamond Model, MITRE ATT&CK, Kill Chain, and mapping TTPs to coverage and detection gaps
• Strong data analysis and pattern recognition skills, able to sift through telemetry, logs, and artifacts to derive meaningful insights that drive detection hypotheses and logic
• Skilled in programming/scripting for automation, analysis, and detection logic generation (mostly Python)
• Experience building and maintaining threat hunting playbooks, leveraging endpoint telemetry, behavior analytics, and threat intelligence to operationalize continuous threat detection
• Comprehensive understanding of threat actor behaviors, intrusion sets, and motivations and their tooling/ecosystem

Desirable

• We are seeking a highly motivated and skilled individual to join our team as a Staff Threat Researcher. The ideal new colleague should have a solid background in cybercrime investigation, and malware analysis.
• You will be responsible for conducting in-depth research and analysis of emerging and existing threats, provide actionable intelligence for detection, and will leverage your deep understanding of the tactics, techniques, and procedures used by ransomware operators and their ecosystem
• Lead threat intelligence initiatives to proactively research, analyze, and assess emerging cyber threats, including ransomware groups, financially motivated actors with a focus on developing detection strategies
• Perform in-depth technical threat analysis, including malware reverse engineering (static/dynamic), campaign tracking, and infrastructure profiling, to inform and drive detection logic in endpoint detection and response (EDR) platforms
• Develop high-fidelity detection logic (YARA, platform rules etc) based on actionable intelligence derived from malware capabilities, actor TTPs, and behavioral patterns observed in telemetry and forensic artifacts
• Design and implement threat hunting strategies to proactively discover malicious activity, unearth novel attack patterns, and surface IOCs and BOIs across diverse environments
• Continuously curate and maintain a threat intelligence knowledge base, including actor profiles, toolsets, infrastructure usage, TTPs, and affiliations, with a special focus on tracking ransomware and their evolving ecosystems
• Monitor adversary infrastructure (C2s, exploit servers), and develop automated methods to fingerprint and track infrastructure reuse across campaigns
• Collaborate with detection engineers to align threat research with detection coverage gaps
• Produce actionable intelligence reports and detection recommendations for internal stakeholders, including concise executive briefings and deep technical analysis for detection engineering and response teams
• Stay ahead of the curve on malware trends, evasive techniques, and novel TTPs, and map findings to threat models (e.g., MITRE ATT&CK, Diamond Model) to maintain contextual awareness and detection depth
• Mentor and guide detection engineers, promoting a culture of continuous learning, collaboration, and threat-informed defense