> Markdown version of [/jobs/ext/4554346-data-infrastructure](https://www.wearedevelopers.com/jobs/ext/4554346-data-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Infrastructure - **Company:** GENESIS GROUPE - **Location:** Paris, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon S3, Data Infrastructure, Distributed Systems, Python (Programming Language), Software Engineering, Data Storage Technologies, Data Ingestion, Apache Spark, Embodied AI, Data Lakes, Core Data, Kubernetes, Apache Kafka, Terraform, Data Pipelines - **Published:** November 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5ac21728303569cc ## About the Role * Excellent software engineering skills (Python, Go, or similar) * Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years) * Deep understanding of distributed systems (Spark, Kafka, or similar) * Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3) * Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform) * Bonus: Experience supporting AI systems, in particular embodied AI like self-driving ## Description * Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale * Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers * Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets * Collaborate with a team of driven individuals committed to building general-purpose Physical AI