Senior AI DevSecOps Engineer

Project overview

As part of building and securing an artificial intelligence platform for the teams of a large group, we are looking for an AI DevSecOps Engineer.

You will join a team specialized in developing an AI platform that allows teams to design, develop, publish, and host their artificial intelligence components, particularly AI agents and MCP servers.

Main missions

Profile sought

You have at least 7 to 10 years of experience in DevSecOps, Cloud, or infrastructure and CI/CD chain security.

You ideally have the following skills:

Work environment

• Administer, maintain, and industrialize GitHub Enterprise Cloud & Server environments.
• Design, optimize, and secure CI/CD pipelines with GitHub Actions.
• Implement application security mechanisms: SAST, SCA, secrets detection, SBOM, and Quality Gates.
• Administer and integrate SonarQube and JFrog Artifactory / Xray solutions.
• Define and deploy security policies related to the use of AI development assistants, particularly GitHub Copilot and Claude Code.
• Identify and address security risks related to LLMs, AI agents, and MCP servers.
• Contribute to the security and industrialization of the AI platform in an AWS environment.
• Develop scripts and automations in Python in Linux environments.
• Confirmed expertise in GitHub Enterprise Cloud / Server and GitHub Actions.
• Very good command of DevSecOps practices and CI/CD pipeline security.
• Experience with SonarQube, JFrog Artifactory, and Xray.
• Mastery of SAST, SCA, Secrets Scanning, SBOM, and Quality Gates tools and mechanisms.
• Good knowledge of AWS, Linux, and Python environments.
• Strong awareness of security issues related to generative AI, LLMs, AI agents, and MCP servers.
• Concrete experience with GitHub Copilot, Claude Code, or MCP environments would be particularly appreciated.
• Professional English.

Project details

• Start: ASAP
• Duration: 3 ans
• Remote: hybrid
• Location: Île-de-France, France, FR
• Languages: French