Remote Freelance DevSecOps Engineer - Cybersecurity & Automation

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Description:

  • Mindrift is seeking a Freelance DevSecOps Engineer specializing in Cybersecurity & Automation.
  • The role involves collaborating on AI projects aimed at improving GenAI models' capabilities in addressing specialized questions and complex reasoning.
  • Responsibilities include generating prompts that challenge AI, defining scoring criteria to evaluate AI responses, and correcting model responses based on domain-specific knowledge.
  • The position is fully remote, allowing for flexible scheduling and the opportunity to contribute to projects aligned with individual skills.

Requirements:

  • Candidates must have strong Linux administration and automation skills, including proficiency in Bash, Python, and PowerShell.
  • Hands-on experience with penetration testing tools such as Metasploit, Burp Suite, Nessus, and Nmap is required.
  • Knowledge of AI security risks, including prompt injection, adversarial attacks, and AI red teaming, is essential.
  • Experience in automating security tasks, securing DevOps workflows, and integrating security into CI/CD pipelines is necessary.
  • Cloud security expertise in AWS, Azure, Kubernetes, Terraform, and CI/CD security is required.
  • Relevant security certifications such as OSCP, CEH, CISSP, OSWE, or API Security Architect are mandatory.
  • Proficiency in English at an advanced level (C1) or above is required.
  • Candidates should possess excellent analytical and problem-solving skills, along with strong communication skills for reporting findings and collaborating with teams.
  • A laptop, internet connection, available time, and enthusiasm for challenges are necessary for this freelance role.

Benefits:

  • This freelance opportunity offers a part-time, remote project that can fit around other professional or academic commitments.
  • Participants will work on advanced AI projects, gaining valuable experience that enhances their portfolio.
  • The role allows individuals to influence how future AI models understand and communicate within their field of expertise.
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