Data Infrastructure / Platform Engineer
Posted
Summary
Builds and operates a scalable, secure cloud-native data platform at Thales: defining infrastructure with Terraform and GitOps, running production Kubernetes, and managing data services like Kafka, Iceberg, Trino, Airflow and PostgreSQL, with self-service provisioning, security, observability and reliability work.
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.
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.
