Description:

The Freelance DevSecOps Engineer role at Mindrift focuses on cybersecurity and automation within the realm of Generative AI.
You will train 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.
The position involves working with Docker containers, writing Bash and Python scripts, modifying HTML files, and crafting malicious Linux commands.
An onboarding session and sample documentation will be provided to guide you through the process.
This role is fully remote, allowing you to contribute to AI development from anywhere at any time.

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 mandatory.
Proficiency in English at an advanced level (C1) or above is required.
Excellent analytical and problem-solving skills are necessary for this 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 freelance role.

You will participate in a part-time, remote, freelance project that accommodates your schedule and commitments.
This role allows you to be part of an exciting AI project.
You will have the opportunity to enrich your portfolio with new experience.
Your work will make a tangible impact on the quality of AI.