Platform Engineer: Cloud-Native DevOps & Kubernetes

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Municipality of Madrid, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Compensation
€ 70K

Job location

Municipality of Madrid, Spain

Tech stack

Amazon Web Services (AWS)
Bash
DevOps
Python
Systems Development Life Cycle
Cloud Services
Datadog
Scripting (Bash/Python/Go/Ruby)
GIT
Cloudformation
Kubernetes
Kafka
Terraform

Job description

An educational technology leader is seeking a Senior Platform Engineer to join their Platform Enablement Team in Madrid. This role involves guiding development teams in the adoption of DevOps practices and building scalable cloud solutions. Candidates should have strong experience with AWS, Kubernetes, and CI/CD structures. The position offers remote flexibility with occasional office visits. Join the mission to improve learning experiences across Europe and make a difference in K12 education., * Collaborate continuously with development teams to understand their needs.

  • Drive harmonization of DevOps practices, tooling, and workflows.
  • Build and maintain shared platform components.
  • Support teams in deploying and operating services on AWS and Kubernetes.
  • Implement and maintain Infrastructure as Code using CloudFormation or Terraform.
  • Develop automation and tooling using Python and Bash.
  • Promote security best practices in platform solutions.
  • Assist in the operation and optimization of Kafka and other shared services.
  • DataDog monitoring.
  • Provide technical mentoring on DevOps concepts and developer tooling.

Conocimientos

AWS and cloud-native solutions Kubernetes and container orchestration ArgoCD Helm GIT and branching strategies Python Bash Kafka Infrastructure as Code (CloudFormation, Terraform) CI/CD pipelines DataDog for monitoring English communication skills Security in cloud and DevOps environments Descripción del empleo Descripción del empleo

Requirements

  • Strong hands-on experience with AWS and cloud-native solutions.
  • Deep understanding of Kubernetes and container orchestration.
  • Experience with ArgoCD, Helm, and GitOps principles.
  • Proficiency with GIT and branching strategies.
  • Strong scripting and automation skills using Python and Bash.
  • Experience with Kafka and distributed messaging systems.
  • Knowledge of Infrastructure as Code (CloudFormation, Terraform).
  • Experience building and improving CI/CD pipelines.
  • Strong understanding of SDLC, developer workflows, and DevOps best practices.
  • Experience with DataDog for monitoring and observability.
  • Excellent written and verbal English communication skills.
  • Solid understanding of security in cloud and DevOps environments.

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