Platform Engineer – Kubernetes, Azure

Platform EngineerPlatform EngineerFull TimeRemoteMid LevelTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

Norway

Posted

46 days ago

Salary

0

Seniority

Mid Level

Job Description

Platform Engineer – Kubernetes, Azure

EPICO AB

• Carry out targeted development and extensions of the data platform in collaboration with the team and architecture resources. • Development must ensure modern, user-adapted solutions that comply with organizational guidelines on technology and compliance. • Translate strategic decisions into practical technological solutions that support efficient operation and development of the data platform. • Implement the platform architecture to support business goals and develop a platform that efficiently processes large volumes of data. • Troubleshoot and resolve technical issues related to the data platform, and support DataOps and analytics teams using the platform. • Provide advice on platform architecture, ensuring alignment with overall principles and guidelines, and collaborate with team members and architects on solution design.

Job Requirements

  • Minimum 2 years of relevant experience in platform development
  • Experience with Microsoft Azure cloud technologies, including building, delivering, and operating development and runtime environments
  • Strong understanding of Terraform as an IaC framework, with specific experience in Azure Kubernetes Services (AKS)
  • Experience with Kubernetes operators, custom controllers (Kubebuilder/controller-runtime), and design of Custom Resource Definitions (CRDs) for domain-specific abstractions
  • Experience with automation and enabling rapid, iterative development for both platform teams and platform users
  • Knowledge of GitOps principles and tools for continuous delivery and operations
  • Experience with Azure Databricks, including configuration and enabling user needs, Databricks Autoloader, Databricks apps, Unity Catalog, and streaming technologies such as EventHub and Kafka
  • Practical experience with Python and PySpark for data processing and analytics
  • Ability to work independently and in teams, and assist colleagues with technical challenges
  • Experience providing technical support for internal platform services and understanding how data engineers/data analysts work.

Benefits

  • Flexibility
  • Development
  • Perfect match

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