Remote Freelance DevSecOps Engineer - Cybersecurity & Automation

Description:

• The role is for a Freelance DevSecOps Engineer specializing in Cybersecurity & Automation at Mindrift, a platform that connects specialists with AI projects.
• The position is part-time and fully remote, allowing for flexible scheduling.
• Responsibilities include generating prompts that challenge AI, defining scoring criteria to evaluate AI responses, and correcting model responses based on domain-specific knowledge.
• The role offers the opportunity to collaborate on projects aimed at improving GenAI models' capabilities in addressing specialized questions and complex reasoning 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 necessary for the role.
• Strong communication skills are needed for reporting findings and collaborating with teams.
• A laptop, internet connection, available time, and enthusiasm to take on challenges are required for this fully remote freelance role.

Benefits:

• This freelance opportunity allows for part-time work that fits around other professional or academic commitments.
• Participants will work on advanced AI projects, gaining valuable experience that enhances their professional portfolio.
• The role provides the chance to influence how future AI models understand and communicate within the candidate's field of expertise.