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:
Mindrift is seeking a Freelance DevSecOps Engineer specializing in Cybersecurity & Automation.
The role involves collaborating on AI projects to improve 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.
Excellent analytical and problem-solving skills are essential for the role.
Strong communication skills for reporting findings and collaborating with teams are necessary.
Candidates must have a laptop, internet connection, available time, and enthusiasm for taking on challenges.
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.