Security Researcher
PacketSled - San Francisco Bay Area, CA

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Location: San Diego, CA, or San Francisco Bay AreaAbout PacketSledPacketSled is San Diego's newest hot company in cyber security. We develop products that enable analysts to easily detect and respond to complex attacks extraordinarily quickly and efficiently by combining deep fast semantic search, rich analytics, and forensic accuracy.Culture: Work should be fun and interesting. We believe that what we're doing is game changing, and we want you to be able to brag about the cool stuff you're working on by keeping you in front of the most interesting, difficult problems. We have a lot of individual contributors, but also try to foster a strong sense of team. Applicants should expect a lot of flexibility on work schedule, tempered with a high degree of focus on committed deadlines for projects. We are hardcore.Required SkillsDeep understanding of network protocols (TCP/IP L3-L7), and their attributes.History of security vulnerability research and development, including but not limited to: Open Source Intelligence Gathering (OSINT)Exploit development and analysis for services, applications, hosts. Creation and analysis of malicious payloadsTraffic analysis (pcaps, real-time) and generation (BreakingPoint, etc)Familiarity with distributed systems, deep packet inspection and analysis. History of security incident actor attribution and identification. Network forensics practicesAttack, penetration, and state maintenance techniques and tools. Behavioral analysis of botnets and unknown threats.Rich experience in linux environments Gentoo, CentOS/RH, other distros including purpose built kernels.Desired SkillsExperience with non-relational databases like mongoDB, hadoop, etc.A background in network probe development, IDS development, or other packet capture and analysis products.History as a fulltime coder in C, ruby, python.Debugging / decompilation and static analysis of known bad binaries. Javascript node.js expertise.History with IDS / IPS / Other products that ingest network.

Keywords: network security forensics cyber