Job Title

Role: Senior Malware Researcher (5–8 Years)Job Summary/ Role OverviewWe are looking for a Senior Malware Researcher with strong expertise in static and dynamic malware analysis to support advanced threat detection and malware intelligence initiatives. This Role requires hands-on experience in malware investigation, signature development, and threat categorization.The ideal candidate will act as a subject matter expert (SME), contributing to analysis accuracy, malware categorization, and overall detection qualityKey Responsibilities- Perform in‑depth static and dynamic analysis of malware samples, binaries, scripts, and suspicious applications across multiple platforms - Analyze malware execution behavior using sandboxing, debugging, and behavioral monitoring techniques - Advanced reverse engineering skills (Windows malware, x86/x64) - Develop, tune, and validate signatures for malware detection and classification - Conduct advanced malware reverse engineering to understand payload behavior, infection vectors, persistence techniques, and command‑and‑control mechanisms. - Provide clear verdicts and categorization of files and applications (Malicious, Benign, Grayware, PUA, etc.) based on evidence - Create high‑quality technical documentation, analysis reports, and investigation notes to support SOC, detection, and engineering teams - Stay updated on emerging malware families, threat actor techniques, evasion methods, and industry trendsMandatory Technical Skills- 5–8 years of experience in malware research or threat analysis· Strong understanding of:- Malware types (Trojans, Downloaders, Ransomware, Droppers, Loaders) - Obfuscation, anti‑debugging, and evasion techniques· Hands‑on experience with tools such as IDA Pro / Ghidra, x64dbg, Cuckoo Sandbox, ProcMon, WiresharkOrProven experience with malware analysis and reverse engineering tools such as:- Disassemblers/Decompilers: IDA Pro, Ghidra, Radare2 - Debuggers: x64dbg, WinDbg, OllyDbg - Sandboxing/Behavioral Tools: Cuckoo Sandbox, Joe Sandbox - Analysis Utilities: PEStudio, ProcMon, Regshot, Wireshark- Good understanding of malware signatures, heuristics, and behavior‑based detection - Strong documentation and communication skillsPreferred Skills- Experience with AI/ML‑driven malware detection techniques, including behavior‑based and anomaly‑based analysis - Experience combining signature‑based, heuristic, and AI‑based detections to improve overall accuracy - Scripting or automation experience using Python, PowerShell, or similar languages - Familiarity with malware evasion and obfuscation techniques OR Knowledge of evasion techniques targeting AI models and techniques to handle adversarial or obfuscated samples