Data Infrastructure / Platform Engineer

We’re looking for a hands-on Data Infrastructure / Platform Engineer to build and operate a scalable, secure and highly reliable data platform at Thales. You’ll work across Cloud, Kubernetes, Infrastructure-as-Code and modern Data Platforms , turning infrastructure into a self-service platform that developers and data teams can rely on. What you’ll do: • Build scalable cloud infrastructure using Terraform and GitOps • Design and operate production Kubernetes platforms and distributed systems • Build and manage data services including Kafka, Apache Iceberg, Trino, Airflow and PostgreSQL • Develop self-service capabilities so teams can provision data services without manual intervention • Implement security, governance, RBAC, observability and FinOps across the platform • Define SLOs, improve reliability and lead incident resolution • Drive platform upgrades, automation and continuous improvement What we’re looking for: • Min 5 years of experience in Platform Engineering, Cloud Infrastructure, DevOps or Data Platform Engineering • Strong hands-on Kubernetes experience, including production/stateful systems • Experience with Terraform/OpenTofu and GitOps (Argo CD/FluxCD) • Experience operating at least one of Kafka, Iceberg/Trino/Spark or Airflow • Good understanding of CI/CD, cloud-native security and Linux • Proficiency in Python and either Go or Bash • Experience with Azure is a strong advantage Why join? This isn't a traditional infrastructure role. You’ll have the opportunity to build the platform from the ground up , work with modern cloud-native technologies, and shape how teams consume data infrastructure through automation and self-service.