Jobs / BASF

Senior Platform Engineer (m/f/d)

BASF · Madrid, MD, Spain
Madrid, MD, SpainHybrid
Remuneration
Flexible work schedule and home-office options; learning and development opportunities; 23 holiday days, 5 additional readjustment days, and 2 cultural days; relocation assistance to Madrid.
Location
Madrid, MD, Spain
Visa sponsorship
Not specified

Job summary

Designs, operates, and improves a global container platform, enabling DevOps and application teams to deploy, operate, and scale containerized workloads. The role provisions Kubernetes clusters across on-premises environments and public clouds, including Azure, 21Vianet, and Alibaba Cloud, while advancing automation, self-service, observability, security, and incident resolution.

Benefits

Home-office optionsLearning and development opportunities23 holiday days per year5 additional readjustment days2 cultural daysRelocation assistance to Madrid

Qualifications

  • Several years of experience in DevOps, platform engineering, software engineering, or a related IT discipline.
  • Knowledge of Linux and container management.
  • Hands-on Kubernetes experience; Rancher experience is an advantage.
  • Hands-on experience with cloud environments, preferably Microsoft Azure.
  • Experience with CI/CD pipelines, automation, Infrastructure as Code, and GitOps.
  • Experience delivering containerized applications and understanding of application team workflows.
  • Understanding of networking, identity and access management, security, and observability in cloud-native environments.
  • Experience troubleshooting complex technical issues and contributing to root cause analysis.
  • Ability to translate application and business requirements into practical platform and self-service solutions.
  • Strong collaboration and communication skills, including very good English.

Responsibilities

  • Design, operate, and continuously improve the global Rancher and Kubernetes container platform.
  • Drive platform automation, standardization, and self-service capabilities.
  • Provision, operate, and optimize Kubernetes clusters across on-premises environments and public clouds.
  • Support DevOps and application teams in selecting container solutions and deploying, operating, and scaling workloads.
  • Identify and address infrastructure, architecture, performance, and security improvements.
  • Resolve complex incidents, contribute to root cause analysis, and implement lasting corrective measures.
  • Improve monitoring, logging, and observability.
  • Coordinate cross-team dependencies and integrate platform services.

Skills

Alibaba CloudAzureIAMKubernetesLinuxRancherDockerTerraform

Languages

English

Work schedule

Flexible work schedule

Industry

Digitalization

Relocation

Yes