Data Infrastructure / Platform Engineer
Summary
A hands-on platform engineer who builds and operates Thales' cloud-native data platform: provisioning infrastructure with Terraform and GitOps, running production Kubernetes, and managing data services like Kafka, Iceberg, Trino, Airflow and PostgreSQL with a focus on self-service, security, observability and reliability.
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.