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 to address specialized questions and enhance complex reasoning skills.
• Responsibilities include generating prompts that challenge AI, defining comprehensive scoring criteria to evaluate AI responses, and correcting the model’s outputs 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.
• Candidates should possess cloud security expertise, particularly in AWS, Azure, Kubernetes, Terraform, and CI/CD security.
• Relevant security certifications such as OSCP, CEH, CISSP, OSWE, or API Security Architect are required.
• Proficiency in English at an advanced level (C1 or above) is mandatory.
• 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 other professional or academic commitments.
• Participants will work on advanced AI projects, gaining valuable experience that enhances their professional portfolio.
• The role allows individuals to influence how future AI models understand and communicate within their field of expertise.