Senior DevSecOps & AI AgentOps Platform Engineer

Atos SE; Chevanceaux; Sur place; EUR 90 000 - 115 000; Plein temps

Résumé du poste

Atos seeks a DevSecOps / AgentOps Engineer to join a cloud-native Data & AI platform responsible for industrialisation and production deployment of Data, ML, GenAI and AI Agent use cases. You will work with Data Engineers, Data Scientists, ML Engineers and Software Engineers to ensure secure, observable, scalable production workloads.

You will integrate security into the development lifecycle, automate infrastructure, and manage multi-cloud environments while advancing DevSecOps, DataOps, MLOps

Qualifications

• Minimum 5 years of professional experience in DevOps/DevSecOps or Platform Engineering.
• Hands-on experience with Kubernetes in production.
• Strong knowledge of GitOps, CI/CD, and Infrastructure as Code.
• Experience with cloud environments (AWS, Azure, GCP) and multi-cloud.
• Security by design and secure software development practices.

Responsabilités

• Design, operate and secure a production platform built on Kubernetes.
• Implement CI/CD pipelines and GitOps workflows.
• Apply IaC to manage infrastructure and configurations.
• Deploy and manage cloud/multi-cloud environments.
• Embed DevSecOps practices across build, test and deployment pipelines.
• Secure images, secrets, IAM/RBAC, and ensure observability and resilience.
• Industrialise Data, ML, GenAI and AI Agents pipelines.
• Monitor, log and trace platform performance.

Connaissances

Kubernetes

CI/CD pipelines

GitOps

Infrastructure as Code

Cloud platforms

Security by Design

Outils

GitLab CI

GitHub Actions

Jenkins

Argo CD

Flux

Terraform

Ansible

Python

MLflow

Description du poste

Atos seeks a DevSecOps / AgentOps Engineer to join a cloud-native Data & AI platform responsible for industrialisation and production deployment of Data, ML, GenAI and AI Agent use cases. You will work with Data Engineers, Data Scientists, ML Engineers and Software Engineers to ensure secure, observable, scalable production workloads.

You will integrate security into the development lifecycle, automate infrastructure, and manage multi-cloud environments while advancing DevSecOps, DataOps, MLOps