Senior DevOps & AI Engineer

Project overview

Under the supervision of the Lead IA IAG within the DSI Data & Integration Service Center, the contractor will be responsible for designing, building, and evolving the application foundation, and then using it for concrete use cases to validate its functionality and principles.

They will be involved in:

The internal standards considered include specification, implementation, code review, unit tests, architecture, secrets management, and traceability.

The contractor will be involved in the following areas:

Platform Engineering / DevOps

Application Development

AI-assisted Development

The current technical target includes Claude Code, GitHub Enterprise, Docker, Sovereign Cloud or AWS, PostgreSQL, Microsoft Entra ID, as well as various security control tools.

Expected Deliverables

The main deliverables of the mission are:

Profile Sought

The profile sought is an experienced to senior DevOps / Platform Engineer with a solid software development culture.

DevOps / Platform Engineering

Development

AI-assisted Development: mandatory skill

The candidate must demonstrate concrete and significant experience in software development with coding agents, such as Claude Code, GitHub Copilot, or similar solutions. A mere occasional use of a code completion assistant will not suffice.

The candidate must be able to:

Expected Profile

We are primarily looking for a hands-on profile, capable of building and developing, not just defining architecture or administering a platform.

The contractor must be able to intervene across the entire chain:

Platform Engineering → CI/CD → security → coding agents → development → deployment

and operation.

They must be able to alternate between infrastructure and industrialization issues and the concrete development of applications with AI assistance.

Desired Qualities

• designing and implementing the technical architecture of the foundation;
• automating the provisioning and deployment of applications;
• building repository templates and CI/CD pipelines;
• integrating security and quality controls into the development chain;
• implementing authentication, authorizations, and secrets management;
• contributing to the observability and exploitability of applications;
• defining standards for developing applications with coding agents;
• developing reusable rules, skills, instructions, and patterns for these agents;
• developing applications with these tools themselves to test and improve the system;
• documenting and transferring the implemented practices.
• Git and repository management;
• project templates;
• CI/CD;
• Docker and containerization;
• dev / pre-production / production environments;
• cloud infrastructure and services;
• configuration and secrets management;
• SSO / OIDC and authorization management;
• automated security controls;
• logging, monitoring, and observability.
• front-end and back-end web applications;
• APIs;
• SQL databases;
• automated tests;
• code quality and maintainability;
• reusable patterns and components.
• coding agents;
• configuration of their environment and context;
• design of rules and instructions;
• design of reusable skills;
• AI-assisted code generation and review;
• implementation of safeguards for their use in a corporate context.
• Operational technical foundation for creating and deploying applications.
• Repository templates and CI/CD pipelines integrating necessary controls.
• Deployment patterns adapted to different application typologies.
• Reference configuration for coding agents used in the mission.
• Initial catalog of reusable rules, skills, and instructions.
• Reusable application patterns and components to accelerate development.
• First applications developed and deployed on the foundation, validating its functionality.
• Technical documentation and user guides, enabling internal teams to take over and evolve the system.
• Significant experience in designing and industrializing platforms
• Mastery of Git and CI/CD chains.
• AWS Cloud, CDK for deployments.
• Mastery of Docker and containerized environments.
• Experience with cloud environments and managed services.
• Good command of IAM, SSO/OIDC, and secrets management issues.
• Practice of DevSecOps principles and control automation.
• Operational culture, monitoring, and observability.
• Solid experience in application development.
• Mastery of at least one modern development ecosystem, ideally TypeScript/JavaScript and/or Python.
• Experience with APIs and web architectures.
• Practice with SQL databases, ideally PostgreSQL.
• Mastery of automated tests and good code quality practices.
• Ability to analyze, challenge, and refactor code generated with AI assistance.
• use a coding agent to develop an application end-to-end;
• structure the context and instructions provided to the agents;
• design and maintain rules and skills;
• implement safeguards regarding architecture, security, tests, and quality;
• analyze and correct generated code;
• integrate this development method into an industrialized Git / CI/CD chain.
• Strong technical autonomy.
• Pragmatic and results-oriented approach.
• Ability to prototype quickly without losing sight of production requirements.
• Ability to challenge technical choices.
• Security and quality culture.
• Ability to document and transfer knowledge.
• Strong appetite for experimentation and new development methods related to AI.

Project details

• Start: ASAP
• Duration: 6 mois renouvelable
• Remote: hybrid
• Location: Issy-les-Moulineaux, Île-de-France, FR
• Rate: 50-69 EUR/h
• Languages: French