DevOps Cloud/Generative AI Engineer

Company description
Meritis is an IT consulting, project management and development firm founded in 2007, with offices in Paris, Sophia-Antipolis, Aix-en-Provence, Montpellier, Toulouse, Nantes... And soon in new regions! Our mission? Connecting the best talents with companies to give them a head start.​
We support our clients with all their digital transformation needs across many areas of expertise: Software Engineering, Finance, Project Management, DevOps, Data, Cloud, Cybersecurity, and Agility.​
Operating in the banking, insurance, telecommunications, industry and transport sectors, 40% of CAC 40 companies are today Meritis clients.​
Guided by our values of excellence, humility, benevolence and closeness, we now have more than 900 employees.​
We take pride in being close to our employees and supporting them individually, whatever their role in the company. Certified Great Place To Work since 2013, our approach to workplace well-being goes well beyond a simple label; our employees speak about it best: .​
Job description
We are looking for a DevOps / Cloud Engineer (m/f/d) with a sensitivity to generative AI.
As part of a generative AI project, we are looking for a consultant capable of designing, deploying and operating a Cloud/DevOps platform that provides secure, industrialized and reliable access to generative AI solutions (LLMs) via external providers, on Azure and GCP.
Your responsibilities:
You will be involved in setting up and operating the platform:
– Deploy and administer Cloud infrastructure on Azure and GCP
– Industrialize deployments and automate DevOps operations
– Manage Kubernetes environments and Infrastructure as Code, ideally with Terraform
– Integrate generative AI solutions via external APIs: Azure OpenAI, OpenAI, Gemini…
– Deploy and host MCP (Model Context Protocol) servers
– Secure exchanges, manage authentication and define access rights
– Monitor the availability, performance and reliability of the platform
Qualifications
We are looking for a Senior DevOps / Cloud Engineer (m/f/d) with solid experience in Cloud infrastructure and industrialization.
Expected technical skills:
– Azure and GCP
– Kubernetes
– Infrastructure as Code (Terraform ideally)
– Networking, security and access management
– CI/CD, automation and operation of Cloud platforms
A good understanding of generative AI is expected:
– Understanding of LLMs and their uses
– Knowledge of APIs for services such as Azure OpenAI, OpenAI or Gemini
– Ability to set up integrations and secure access to AI services
– Knowledge of MCP (Model Context Protocol) would be a plus
Additional information
– Tailored career paths (career development, suitable training, mentoring…);​
– Having the choice of your assignment and personalized support throughout your career;​
– Working in an environment where learning is encouraged: certifying training, e-learning, meetUps, code competitions, career development paths etc;​
– Being part of expert communities who share their knowledge and experience within our competence centers;​
– A friendly environment with many festive events (annual party, seminars & team building, lunches and afterworks…);​
_"Meritis is committed to Corporate Social Responsibility. We value our positive impact on society and the environment. Our CSR approach guides each of our actions to promote equity, sustainability and the well-being of our employees. Join us to be a stakeholder in this responsible approach, where each of our talents helps build a better future._
_Our differences are our strengths. That is why Meritis is committed to diversity and non-discrimination. All of our jobs are accessible to people with disabilities."_