Cette offre n'affiche pas de salaire. D'après 54 offres pour ce poste (Top profil, Île-de-France), le marché se situe autour de 572€/j (525€/j–625€/j).
Mission Platform Engineering team is at the core of delivering our products by providing a reliable, secure, and scalable cloud platform. As a DevOps Engineer (AWS/Terraform), your mission is to design, industrialize, and operate the platform and tooling that enable teams to build, deploy, and evolve their applications quickly and safely on AWS.
Duration: 1 year, extended 3 years.
Key tasks In this mission of Cloud Data Platform Engineer, you will have the following tasks :
• Design and develop advanced, reusable Terraform modules (networking, security, compute, data, edge) aligned with robust architectural standards and AWS best practices.
• Evolve a multi-account (AWS Organizations, Control Tower/SCPs, governance, identities) to provide a secure, scalable deployment framework.
• Define infrastructure and application blueprints (“golden paths”) for containerized (EKS/ECS/Fargate), serverless (Lambda), and traditional (EC2/ASG) workloads, including networking, observability, and security.
• Build and maintain CI/CD pipelines for infrastructure and applications (Jenkins/GitLab CI), including testing, policy-as-code (OPA/Conftest), security (tfsec/Checkov), and automated plan/apply (Atlantis/Spacelift/Terraform Cloud).
• Operate and harden the platform: monitoring/alerting/logging/tracing (CloudWatch, OpenTelemetry, Prometheus/Grafana, OpenSearch, Datadog), SLI/SLO definition, capacity management, backups and disaster recovery.
• Secure the environment: least-privilege IAM, KMS, Secrets Manager, patching, secret management (SOPS), IaC/image scanning.
• Manage Terraform at scale: remote state (S3 + DynamoDB locking), versioning strategy, module detection/remediation. lifecycle, multi-environment patterns, drift
• Support CFM teams migrating on-prem workloads to AWS: assessments, pattern selection, template adoption, tooling, and coaching for self-service.
• Identify and automate repetitive tasks (Bash/Python tooling, Terraform automation, or AI copilots) to accelerate deployments and migrations.
• Contribute to L2/L3 support, incident management and post-mortems; produce clear documentation and ensure knowledge transfer
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