Security And Reverse Engineer
- Full Time
- Cyber Security
- Remote-US
- $100K - $200K
Remote Job Description
In this role, you will be part of Google Cloud Mandiant, a leader in dynamic cyber defense, threat intelligence, and incident response services. Mandiant helps organizations improve their threat, incident, and exposure management
Salary Range Info:
The US base salary range for this full-time position is $133,000-$194,000 + 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 for new hire 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
- Perform binary analysis on the JIRA malware queues
- Model relationships between samples and artifacts (e.g., C2 addresses, IOCs)
- Research and work on binary analysis
- Contribute feature requests and bug fixes to team projects
- Write polished completed reports for customer deliverables
Note: Google’s hybrid workplace includes remote roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
Remote locations: Virginia, USA; United States.
Remote locations: Virginia, USA; United States.
Qualifications
Minimum qualifications:
- 5 years of experience with four of the following (system and network forensics or administration, threat intelligence analysis, technical IR processes, reverse engineering, enterprise security architecture)
- 2 years of experience in malware analysis and reverse engineering (e,g.,DEX, ARM)
- 2 years of experience writing code in one or more programming languages (e.g., Python or C )
Preferred qualifications:
- Bachelor's or Master's degree in Computer Science or equivalent experience