"We are looking for experienced DevOps Engineers to evaluate how AI models handle CI/CD, infrastructure-as-code, cloud operations, and automation tasks.

In this role, you will test AI-generated infrastructure and deployment solutions, identify security, reliability, and scalability issues, and assess whether automated solutions can be trusted in real-world production environments.

Key Responsibilities

Evaluate AI-generated CI/CD pipelines and infrastructure solutions.

Test infrastructure-as-code for correctness, security, and reliability.

Identify configuration errors, security risks, and deployment failures.

Assess cloud operations, automation, monitoring, and rollback strategies.

Analyze where AI-generated DevOps solutions fail under real-world scenarios.

Write and document production-ready solutions that demonstrate strong DevOps practices.

Requirements

Strong experience with DevOps, CI/CD, and cloud infrastructure.

Proficiency with tools such as Docker, Kubernetes, Terraform, or similar technologies.

Experience with AWS, Azure, GCP, or other cloud platforms.

Strong understanding of infrastructure-as-code and deployment automation.

Knowledge of cloud security, reliability, monitoring, and incident management.

Strong analytical and problem-solving skills.

Apply Now

If you have strong DevOps and cloud engineering experience and are interested in evaluating AI-generated infrastructure and automation, apply now to help improve the next generation of AI systems."