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Description:
The role is for a Freelance DevSecOps Engineer focused on Cybersecurity & Automation at Mindrift.
You will contribute to AI development by training AI systems to identify and exploit security weaknesses in a controlled and ethical manner.
Your responsibilities include designing and executing a code injection attack to identify vulnerabilities in an AI-powered computer agent.
You will work with Docker containers, write Bash and Python scripts, modify HTML files, and craft malicious Linux commands.
An onboarding session and sample documentation will be provided to guide you through the process.
The position is fully remote, allowing you to work from anywhere with just a laptop and internet connection.
Requirements:
Strong Linux administration and automation skills are required, specifically 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 required.
Proficiency in English at an advanced level (C1) or above is necessary.
Excellent analytical and problem-solving skills are required.
Strong communication skills for reporting findings and collaborating with teams are essential.
The role requires a laptop, internet connection, available time, and enthusiasm to take on challenges.
Benefits:
You will participate in a part-time, remote, freelance project that accommodates your schedule and commitments.
You will be part of an exciting AI project that contributes to the advancement of the field.
The role offers an opportunity to enrich your portfolio with new experience.
You will have the chance to make a tangible impact on the quality of AI.