Remote Freelance Site Reliability Engineer (Security Automation & Penetration Testing)
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Description:
Mindrift is seeking a Freelance Site Reliability Engineer specializing in Security Automation and Penetration Testing.
The role involves collaborating on AI projects to improve GenAI models' capabilities in addressing specialized questions and achieving complex reasoning skills.
Responsibilities include generating prompts that challenge AI, defining comprehensive scoring criteria to evaluate AI responses, and correcting the model’s 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:
Strong Linux administration and automation skills are required, including proficiency in Bash, Python, and PowerShell.
Candidates must have hands-on experience with penetration testing tools such as Metasploit, Burp Suite, Nessus, and Nmap.
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.
Excellent analytical and problem-solving skills are essential for the role.
Strong communication skills are necessary for reporting findings and collaborating with teams.
A laptop, internet connection, available time, and enthusiasm to take on challenges are required for this freelance role.
Benefits:
This freelance opportunity offers a part-time, remote project that can fit around primary 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 in their field of expertise.