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.