This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
The role is for a Freelance DevSecOps Engineer specializing in Cybersecurity & Automation at Mindrift, based in Melbourne, Australia.
Mindrift connects specialists with AI projects from major tech innovators, aiming to unlock the potential of Generative AI.
As an AI Tutor in Cybersecurity, you will collaborate on projects that enhance GenAI models' capabilities in addressing specialized questions and complex reasoning.
Typical responsibilities include generating prompts that challenge AI, defining scoring criteria to evaluate AI responses, and correcting model responses based on your domain-specific knowledge.
The position is flexible, allowing you to work on projects aligned with your skills and schedule.
Requirements:
Strong Linux administration and automation skills are required, including proficiency in Bash, Python, and PowerShell.
Hands-on experience with penetration testing tools such as Metasploit, Burp Suite, Nessus, and Nmap is necessary.
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 required.
Cloud security expertise in AWS, Azure, Kubernetes, Terraform, and CI/CD security is needed.
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 necessary for the role.
Strong communication skills for reporting findings and collaborating with teams are essential.
The role is fully remote, requiring only a laptop, internet connection, available time, and enthusiasm for challenges.
Benefits:
This freelance opportunity offers a part-time, remote project that can fit around your primary professional or academic commitments.
You will work on advanced AI projects, gaining valuable experience that enhances your portfolio.
You will have the chance to influence how future AI models understand and communicate in your field of expertise.