Description:

The role is for a Freelance Site Reliability Engineer focusing on Security Automation and Penetration Testing.
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 an internet connection.

Requirements:

Strong Linux administration and automation skills are required, including proficiency 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 needed for reporting findings and collaborating with teams.
Enthusiasm to take on challenges and availability to commit time to the freelance role is required.

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