Security Engineer, Threat Research, Uppercase Research

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of coding experience in one or more general purpose languages.
  
• 2 years of experience with cloud security, threat modeling, or detection engineering.
  

Preferred qualifications:

• Experience in security research, malware analysis, or adjacent work.
  
• Experience with Security Analysis tooling including Packet capture (PCAP), System logs, Endpoint Detection and Response (EDR), Security Information and Event Management (SIEM).
• Experience with Go, Python, or C++ in the development of security tools.
  
• Ability to generate well-documented technical malware research on request.

About the job

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Utilize data analysis techniques using Jupyter Notebooks, Google Codelabs, Scipy and Numpy.
  
• Apply Machine Learning (ML), or Artificial Intelligence (AI) to security datasets.
  
• Track and detect threats at the Indicator of Compromise (IOC) level.