Remote Freelance DevSecOps Engineer - Cybersecurity & Automation

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:

• 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 essential 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 offers a part-time, remote project that can fit around your 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.