Jobs / Storm Group
AI Platform Engineer – H/F
Storm Group · Paris, A8, France
Paris, A8, FranceExp: 4-6 yrs50,000-55,000 EUR/yearlyRemote
Remuneration
Transport pass reimbursement of 75%; meal vouchers with 50% employer contribution (€10.50 per day); Gymlib or Wellpass access; health and disability coverage; continuing education; referral, profit-sharing, and participation bonuses.
Location
Paris, A8, France
Visa sponsorship
Not specified
Job summary
The AI Platform Engineer builds, administers, and operates a shared platform for generative and agentic AI use cases and foundation models. The role deploys infrastructure with Terraform and Kubernetes or OpenShift, supports GPU-based inference and LLM gateways, and manages access governance, observability, reliability, capacity planning, and FinOps for production workloads.
Benefits
Transport pass reimbursement of 75%Meal vouchers with 50% employer contribution (€10.50 per day)Gymlib or Wellpass accessHealth and disability coverageUdemy Business accessReferral, profit-sharing, and participation bonuses
Qualifications
- Four to six years of platform engineering or cloud infrastructure/DevOps experience, including production AI/ML workloads.
- Strong expertise in at least one major cloud provider: Azure, AWS, or GCP, and Terraform.
- Practical experience orchestrating distributed workloads with Kubernetes or OpenShift.
- Operational knowledge of GPU infrastructure and S3 object storage.
- Knowledge of model inference, LLM gateways, and IAM access management.
- Experience with observability tools such as Grafana and ELK, and familiarity with FinOps.
- Professional working proficiency in English.
- Engineering degree or master's-level university degree in computer science, systems and networks, or software engineering.
Responsibilities
- Design, deploy, and evolve the internal AI platform using Terraform.
- Provision and orchestrate Kubernetes or OpenShift clusters for inference workloads on GPU infrastructure with S3 object storage.
- Integrate and administer LLM gateways for internal open-source models and external provider APIs.
- Implement IAM access governance, dynamic quotas, and internal usage chargeback.
- Develop standardized templates and self-service features for project team onboarding.
- Maintain platform service availability, resilience, and security.
- Deploy and monitor AI workload observability and metrics using ELK, Grafana, and Prometheus.
- Plan GPU and CPU capacity and optimize production inference costs.
- Handle incidents, provide advanced support, and maintain technical documentation.
Skills
AWSAzureGCPGrafanaIAMKubernetesOpenShiftPrometheusS3TerraformElasticsearchFluent BitFluentdKibanaLogstash
Degrees
Engineering degreeMaster's-level degree in computer science, systems and networks, or software eng
Languages
English
Industry
Generative AIAgentic AI
Relocation
No