Senior Security Research Engineer, SONAR (Security Operations and Novel Adversary Research)

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role SONAR is the adversary research team within Elastic Security. We discover novel adversary behavior through malware reverse engineering, threat hunting, and vulnerability research, turn every discovery into protections that ship to customers, and share our work publicly through Elastic Security Labs. We want to make environments hostile to adversaries, and to put rare knowledge and tooling within reach of every defender. We are looking for a Senior Security Research Engineer to take on our hardest analysis work and help set the technical direction of the team. Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship. Our research is public, and much of it is work you may already know: this team identified the supply chain compromise of the axios npm package, uncovered a new Contagious Interview campaign hiding DPRK malware inside SVG images, and published in-depth analyses of the TCLBANKER banking trojan and the PHANTOMPULSE RAT, each one paired with protections that shipped to customers. If you have a passion for taking apart what adversaries build, and would enjoy the challenge of getting that understanding into customers' hands quickly, join our growing team! What You Will Be Doing • Reverse engineer malware nobody has documented yet. Take apart obfuscated and packed samples across Windows, macOS, and Linux, and recover how they communicate, configure themselves, and stay hidden. • Operate global data systems to identify and mitigate threats. Work through data from millions of endpoints to surface the activity worth investigating, build the campaign context that tells customers who is targeting them, and push mitigation back out across the fleet. • Turn every discovery into a shipped protection, and the tooling that scales it. Author the signatures that stop what you find, and build the automation and AI-assisted workflows that make the next investigation faster than the last. • Build your public research reputation. Publish on Elastic Security Labs, release tools and detection artifacts to our public GitHub repositories, and present at conferences. We encourage a public persona and the relationships in the research community that come with it. • Collaborate across Elastic Security. Your discoveries become the rules and models that neighboring teams build and ship, and you will work with those teams directly on shared threat intelligence and detection engineering projects. • Help lead the team's technical direction. Take point on investigations that run for months, raise the bar in review, and mentor researchers earlier in their careers. What You Bring • 6+ years of professional experience reverse engineering malware and researching adversary tradecraft, static and dynamic, across multiple executable formats (PE, ELF, Mach-O) and architectures (x86-64, ARM), including obfuscated and packed code that defeats automated tooling. • Python development experience for research tooling and automation, plus the ability to read C and C++. Malware arrives in Rust, Go, and NodeJS too, so you are willing to learn a new runtime when a sample demands it. • YARA authorship and hunting at scale. You write signatures that hold up against the next variant, and you can find a weak signal in a very…