Cyber Security Engineer (Fully Remote)

Google

United States

Remote

USD 120,000 - 180,000

Full time

10 days ago
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Benefits offered by this job

Fully remote
Flexible schedule
Pay-per-task compensation

Job summary

Google is seeking a security-focused engineer to collaborate on a dynamic customer project that enhances AI model training through domain expertise. This fully remote role offers a flexible schedule and the option to work hours you choose.

You will debug and fix software issues, implement features, conduct security assessments, and contribute to secure development practices, leveraging your cybersecurity background and programming skills to protect systems and data.

Qualifications

  • Strong background in cybersecurity with proficiency in at least one programming language.
  • Experience with penetration testing, security audits, and vulnerability assessment.
  • Ability to apply domain expertise to AI model training projects.

Responsibilities

  • Debug and fix software issues, implement features, and refactor legacy code.
  • Conduct security assessments and contribute to secure development practices.

Skills

Cybersecurity fundamentals
Penetration testing
Security audits
Vulnerability assessment
Programming language proficiency

Education

Bachelor's degree in Computer Science or related field

Tools

OWASP ZAP
Burp Suite

Job description

  • Engage in a dynamic customer project to enhance AI model training with your domain expertise.
  • Work on a flexible schedule, fully remote, with hours you choose.

Key Responsibilities:

  • Debug and fix software issues, implement features, and refactor legacy code.
  • Conduct security assessments and contribute to secure development practices.

Requirements:

  • Strong background in cybersecurity with proficiency in at least one programming language.
  • Experience with penetration testing, security audits, and vulnerability assessment.

Compensation & Process:

  • Pay is output-based; experts are paid per task meeting project specs.
  • Application includes screening, AI interview, technical assessment, and manager review.
Google

Our client is a venture-backed AI company developing intelligent systems via human expertise and machine learning. They are rapidly growing with over $40 million in funding and a global network of experts.

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