Role Description
Dropbox Threat Intelligence leverages data-driven insights to understand and counteract potential threats to Dropbox and its users. By analyzing attack patterns and threat actors, we provide actionable intelligence that supports the business in fortifying defences and enhancing security resilience.
In this role you will investigate critical threats to Dropbox and our customers, profiling threat actors and uncovering the actions, techniques and objectives of these malicious actors. We ensure trust in the Dropbox platform by protecting all users interactions with our products. You will analyze telemetry data to identify signals indicative of malicious activity and abuse. You will help enhance our capabilities by formulating new analytic techniques and working across teams to drive the supporting capabilities. You’ll leverage your understanding of current cybercrime and fraud actor TTPs, experience working with API, network, and host based indicators and scripting expertise to help automate recurring tasks.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
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Research and analyze evolving threats to anticipate future risks.
- Provide deep analytic reports to help business units anticipate and mitigate risks.
- Build and maintain strong partnerships with internal stakeholders and external threat intelligence networks to facilitate the exchange of critical information.
- Pursue actionable intelligence on cybercrime threats as they relate to Dropbox.
- Build and support team automation and investigation tools.
Requirements
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2-4 years of combined experience in either incident response, threat intelligence, threat hunting, or cybercrime investigations
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Experience in one or more information security domains: threat Intelligence analysis and research - security monitoring/detection and incident response - security architectures, principles, and assessment methodologies - network and operating systems security - development of security tooling
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Technical domain knowledge with Linux, Windows, or MacOS based systems - network infrastructure - cloud products (e.g. AWS, GCP, Azure)
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Proficiency using Python or Go
Preferred Qualifications
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Malware analysis and digital forensics
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Experience with deep/dark web forums, malware, threat modeling, security vulnerabilities, exploitation techniques, and methods for remediation
- Strong demonstrated knowledge of common offensive techniques, and an in-depth knowledge of UNIX tools and architecture
Total Rewards