Platform Engineer Cloud & AI – MLOps / LLMOps

Requirements

• You master at least one public cloud, ideally with a certification.
• You have solid experience in infrastructure as code, Kubernetes, and CI/CD.
• You are interested in AI topics (MLOps, LLMOps, agent deployment), or you already have experience in them.
• You have an automation mindset, you are rigorous, and you enjoy working in a team.

Project details

Paris, hybrid

Contract: Permanent / Freelance

Experience: 4 years minimum in DevOps, Cloud or Platform Engineering

Who are we?

Idemys is an independent tech firm based in Paris, specializing in Data, Agentic AI, Cloud, DevOps, and Cybersecurity. We help our clients reliably, securely, and cost-effectively move their AI projects from prototype to production.

Your mission

You will build and evolve the platforms used to deploy our clients' AI models and agents:

Technical environment

AWS / Azure / GCP · Terraform · Kubernetes · Docker · GitLab CI / GitHub Actions / ArgoCD · Python / Bash · MLflow · managed AI services (Bedrock, Azure OpenAI, Vertex AI) · Prometheus / Grafana / Langfuse

What we offer

Candidate profile

• design cloud platforms dedicated to AI on AWS, Azure, or GCP;
• automate deployments: CI/CD pipelines for applications, models, and agents;
• code infrastructure with Terraform and containerize applications on Kubernetes;
• implement observability for LLMs and agents: logs, traces, metrics, cost tracking;
• apply cloud security and FinOps best practices;
• work with Data and AI teams to accelerate the move to production.
• AI projects at the heart of current topics, serving production platforms.
• A human-sized structure, with direct access to management.
• Compensation: according to profile
• Start: 30/11/2026
• Duration: 6 mois renouvelable
• Remote: hybrid
• Location: Île-de-France, France, FR
• Languages: French