Reverse Engineering: Perform static and dynamic analysis of malicious binaries to understand their behavior and intent.
Detection Engineering: Develop and maintain high-fidelity detection signatures (YARA, Snort, Sigma) to protect customers.
Data Mining: Query massive datasets (using SQL, Python, or Splunk) to identify anomalies and map out adversary infrastructure.
AI and LLM Automation: Design and leverage AI and LLM automations to support your analysis workload.
Technical Reporting: Produce detailed technical whitepapers and internal briefings on original discoveries.
Deep Technical Research: Identify, track, and analyze advanced persistent threats (APTs) and their malicious infrastructure to gain insights into attack vectors, victimology, and scale.

Education: Bachelor's or Master's in Computer Science, Cybersecurity, or a highly technical equivalent.
Experience: 3–5 years in a hands-on technical research role (SOC Tier 3, Malware Analysis, or Incident Response).
Technical Skills: Proficiency in Python, Go, or C/C++; experience with disassemblers such as IDA Pro or Ghidra.
Mindset: A hacker's curiosity — the ability to look at a data point and see the hidden pattern.
Bonus: Experience with Splunk, Kinesis, or large-scale data processing.

Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range.
Employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

Threat Researcher

Key skills