Continental is seeking a Platform Engineer (DevOps / DataOps) to build, automate, and operate our enterprise data and AI platform. The role focuses on creating a secure, scalable, and self-service cloud platform that enables data engineers, data scientists, analysts, and application teams to deliver business value efficiently. While experience with data platforms is beneficial, the primary focus is on platform engineering principles, cloud infrastructure, automation, governance, and operational excellence. The preferred cloud platform is Microsoft Azure, although experience with AWS is equally valued. You will work closely with enterprise architects, automation teams, data engineers, and product teams to establish a modern platform operating model based on Infrastructure as Code, CI/CD, cloud-native services, and platform self-service capabilities.

Main Responsibilities: - Implement and maintain Infrastructure/Policy as Code using tools such as Terraform; - Develop reusable platform services and self-service capabilities for engineering teams; - Automate provisioning, configuration, and lifecycle management of cloud resources; - Establish platform automation standards and engineering guardrails; - Design and maintain CI/CD pipelines for platform and application deployments; - Implement monitoring, observability, alerting, and operational dashboards; - Improve platform reliability, scalability, and operational efficiency.

Qualifications: - Academic Degree in Computer Science, Information Technology, Engineering, or a related field; - +3 years of experience in Platform Engi

Continental is seeking a Platform Engineer (DevOps / DataOps) to build, automate, and operate our enterprise data and AI platform. The role focuses on creating a secure, scalable, and self-service cloud platform that enables data engineers, data scientists, analysts, and application teams to deliver business value efficiently. While experience with data platforms is beneficial, the primary focus is on platform engineering principles, cloud infrastructure, automation, governance, and operational excellence. The preferred cloud platform is Microsoft Azure, although experience with AWS is equally valued. You will work closely with enterprise architects, automation teams, data engineers, and product teams to establish a modern platform operating model based on Infrastructure as Code, CI/CD, cloud-native services, and platform self-service capabilities.

Main Responsibilities: - Implement and maintain Infrastructure/Policy as Code using tools such as Terraform; - Develop reusable platform services and self-service capabilities for engineering teams; - Automate provisioning, configuration, and lifecycle management of cloud resources; - Establish platform automation standards and engineering guardrails; - Design and maintain CI/CD pipelines for platform and application deployments; - Implement monitoring, observability, alerting, and operational dashboards; - Improve platform reliability, scalability, and operational efficiency.

Qualifications: - Academic Degree in Computer Science, Information Technology, Engineering, or a related field; - +3 years of experience in Platform Engi