Platform Engineer – Self-Service Data Platform based in France. This remote-first role focuses on designing and operating a self-service data platform that enables engineers and researchers to securely access, manage, and process large-scale datasets with minimal operational overhead. You will work at the intersection of platform engineering, cloud infrastructure, and software development to create scalable, secure, and reusable platform services that accelerate innovation. Collaborating with engineering and research teams, you will standardize and productize platform capabilities for broader internal use, contribute to Infrastructure-as-Code initiatives (Terraform, CI/CD), and ensure secure-by-design practices (identity and access management, least privilege). The ideal candidate has hands-on experience with Terraform, Kubernetes, object storage, data formats like Parquet, Delta, or Iceberg, and workflow orchestration tools (Dagster, Airflow, Prefect). Proficiency in Python or similar languages and a product-oriented mindset are important, as is the ability to thrive in a remote, cross-functional environment. Knowledge of AWS and exposure to ML infrastructure or regulated data domains are advantageous.

Platform Engineer – Self-Service Data Platform based in France. This remote-first role focuses on designing and operating a self-service data platform that enables engineers and researchers to securely access, manage, and process large-scale datasets with minimal operational overhead. You will work at the intersection of platform engineering, cloud infrastructure, and software development to create scalable, secure, and reusable platform services that accelerate innovation. Collaborating with engineering and research teams, you will standardize and productize platform capabilities for broader internal use, contribute to Infrastructure-as-Code initiatives (Terraform, CI/CD), and ensure secure-by-design practices (identity and access management, least privilege). The ideal candidate has hands-on experience with Terraform, Kubernetes, object storage, data formats like Parquet, Delta, or Iceberg, and workflow orchestration tools (Dagster, Airflow, Prefect). Proficiency in Python or similar languages and a product-oriented mindset are important, as is the ability to thrive in a remote, cross-functional environment. Knowledge of AWS and exposure to ML infrastructure or regulated data domains are advantageous.