Information Security Engineer

We are looking for an experienced Information Security Engineer specializing in AI-driven development tools to support the client's implementation of secure AI-assisted coding environments. The ideal candidate will have strong experience with Docker container security, Azure DevOps, Linux administration, and enterprise security configurations.

The selected candidate will configure, implement, and validate security controls for AI coding platforms, including Claude Code, OpenAI Codex, and GitHub Copilot. Responsibilities include securing development environments, managing permissions, restricting execution capabilities, protecting credentials, implementing network access controls, and establishing comprehensive logging.

The engineer will also integrate these configurations with Docker containers and Azure DevOps repositories and pipelines, troubleshoot security-related issues, document vulnerabilities and configuration gaps, and transfer technical knowledge to the client's internal IT staff. Strict Requirements US Citizen or Green Card holder requirement per the client and W2 only. No C2C, recruiters need not inquire.

Required Qualifications

• Strong experience configuring and securing Docker containers.
• Hands-on experience with Azure DevOps repositories, permissions, and CI/CD pipelines.
• Proficiency in Linux administration, security configuration, and scripting.
• Experience managing Git repositories and JSON/YAML configuration files.
• Experience implementing security controls, including permissions, execution restrictions, network access policies, and credential protection.
• Familiarity with AI-assisted coding platforms, including Claude Code, GitHub Copilot, and OpenAI Codex.
• Experience configuring or integrating Model Context Protocol (MCP) servers and AI agent Skills.
• Understanding of enterprise AI security controls, access management, and audit logging.
• Ability to test security configurations, troubleshoot issues, and identify vulnerabilities.
• Strong technical documentation and knowledge-transfer capabilities.

Preferred Qualifications

• Previous experience securing enterprise AI development environments.
• Experience implementing AI coding agent sandboxing and execution restrictions.
• Knowledge of prompt injection, credential exposure, and AI agent security risks.
• Experience with DevSecOps, secrets management, and security automation.
• Previous public-sector or government IT security experience.
• If interested, please apply with resume.