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Principal Researcher, Botnet & DDoS Threats

The DDoS threat landscape has crossed a threshold. Botnets like Aisuru and Kimwolf—comprising millions of compromised Android TV and IoT devices and capable of attacks exceeding 24Tbps and 9billion packets per second—are no longer edge cases. They are the baseline. Defeating these threats requires more than external observation. It requires deep visibility into how they are built, how they execute on the wire, and what that means for the systems designed to stop them.

Responsibilities

• Reverse engineer IoT botnet malware families (Mirai lineage, Go‑based L7 flooders, multi‑architecture binaries) to understand attack behavior at the implementation and network level.
• Reconstruct command structures, decode obfuscation, recover control flows from stripped binaries, and build precise models of how attacks manifest on the wire.
• Perform dynamic malware analysis in sandboxed and purpose‑built lab environments to validate static analysis and observe runtime behavior.
• Design and contribute to novel detection and mitigation approaches based on malware internals and traffic behavior.
• Collaborate with AI/ML teams to integrate automated analysis into research workflows, actively shaping how automation is applied to real malware analysis problems.
• Partner with product engineering to translate research into shipped detection capabilities.
• Lead external‑facing research: threat reports, technical blogs, and conference presentations.
• Engage with customers in post‑incident analysis, architectural guidance, and strategic threat briefings—clearly explaining both attacker behavior and defensive actions.
• Work alongside senior researchers focused on IoT botnets and large‑scale DDoS systems, contributing to and benefiting from a deeply technical peer environment.

Qualifications

• Strong foundation in binary reverse engineering using tools such as Ghidra or IDA, including static analysis across multiple architectures and experience with stripped binaries and compiler‑generated code; comfortable working close to raw assembly and control flow.
• Hands‑on experience with dynamic malware analysis in sandbox or isolated lab environments, using runtime observation to validate and extend static findings.
• Working proficiency in Python and Go.
• Strong understanding of network protocols at the implementation level, including the ability to interpret PCAPs and reconstruct protocol behavior.
• Familiarity with DDoS botnet architectures (e.g., Mirai lineage or equivalent), ideally with direct analysis of binaries rather than secondary reporting.
• Experience tracking variant evolution across malware families is a strong plus.
• Ability to communicate complex technical findings clearly across engineering, product, and customer audiences.
• Nice to have: experience with high‑performance packet processing or mitigation systems at the network and transport layers.
• Nice to have: experience analyzing Go binaries in depth.
• Nice to have: exposure to malware source code.
• Nice to have: experience applying ML‑assisted or vector‑based approaches to malware classification, clustering, or lineage attribution.

Tools & Environment

• Ghidra (headless + GUI), Capstone, GoReSym
• Python3, Go, Scapy, tshark
• Any.run, Joe Sandbox, Cuckoo (or equivalent)
• Custom detonation lab infrastructure, honeypot infrastructure
• MalwareBazaar, VirusTotal
• macOS or Linux AI

Compensation

Targeted compensation guideline: $200,000–$215,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.

Equal Opportunity Employment

A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.