Platform Engineer

• Conceive and drive the evolution of cloud architectures (Azure, GCP, AWS): technical choices, infrastructure patterns, governance.
• Ensure the reliability and scalability of our environments
• Propose structural improvements and lead architecture initiatives.
• Actively contribute to the technical culture of the team.

Senior Platform Engineer – CDI

• Design and operate infrastructures, tooling, and core platform services
• Work across the full application lifecycle: design, operation, and automation
• Collaborate with experienced engineers on platform operation and evolution

Junior Platform Engineer – Permanent

• The role combines service ownership with a strong technical focus.
• Run operations for DFL services: ensure the stability, performance and high availability of services (Kafka, Apache Hop, Dremio, Iceberg, Application Hosting) on Kubernetes, with a focus on reliability and optimization.
• Incident, problem and change management: actively participate in incident resolution, root cause analysis and change management, ensuring structured communication and sustainable corrective actions, in accordance with the ITIL framework.
• Vendor management for run operations.
• Observability and performance optimization: develop and maintain monitoring, logging, alerts and dashboards. Support capacity analyses, throughput/latency investigations and resource planning.
• Automation and standardization: create and improve runbooks, technical standards and reusable processes. Automate recurring tasks (templates, checks, onboarding) and contribute to platform conventions (RBAC, secrets, backup/restore).
• Support and advise internal users of the platform: act as the point of contact for business and product teams; advise on use cases, optimize onboarding processes (access, documentation) and run workshops to promote effective and compliant platform usage.

Platform Ops Engineer

• Provide technical leadership for the cloud platforms, deployment systems, and operational foundations that power enterprise-scale generative AI applications.
• Define and evolve the infrastructure architecture for AI/ML platforms running across AWS, Kubernetes, serverless, and containerized environments.
• Lead platform standards for reliability, scalability, observability, CI/CD, security, and developer enablement, while partnering closely with software engineering, AI engineering, security, and operations teams.
• Define and drive the technical strategy for AI/ML platform infrastructure supporting generative AI applications, LLM integrations, model routing, and enterprise AI services.
• Architect, build, and operate scalable cloud platforms using AWS services such as EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, and MWAA.
• Establish reusable infrastructure patterns using CloudFormation, Helm, and Terraform to support reliable multi-environment and multi-region deployments.
• Lead CI/CD architecture using GitHub Actions, reusable workflows, OIDC-based AWS authentication, automated quality gates, deployment promotion, and environment approvals.
• Design and improve observability across AI platforms, including CloudWatch dashboards, logs, alarms, Prometheus/Grafana, OpenSearch, Langfuse, and LLM-specific operational metrics.
• Build platform capabilities for GenAI workloads, including model availability monitoring.
• Partner with software engineering teams to improve deployment reliability, rollback strategies, health checks, autoscaling, load testing, and runtime performance.
• Define and enforce security and compliance practices for infrastructure, including IAM permission boundaries, Secrets Manager usage, secret scanning, audit logging, tagging standards, and change-management controls.
• Provide technical leadership for cost optimization, capacity planning, environment standardization, and operational resilience across development, test, production, and sandbox environments.
• Mentor engineers, review architecture and infrastructure designs, and influence platform engineering practices across teams.

Platform Engineer jobs in France

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Senior Platform Engineer – CDI

Junior Platform Engineer – Permanent

Platform Ops Engineer

Staff Platform Engineer, AI/ML Infrastructure