DEVOPS/Automation Engineer (Kubernetes)

Job Description

Responsibilities:

• Ensuring the CI/CD Platform design aligns with industry best practices for scalability, security, and performance.
• Update existing application and infrastructure designs of CI/CD Platform.
• Design, maintain and improve our Containers Platform, both in the cloud (e.g. Azure) and on-premises (RKE2/Rancher)
• Creating re-usable pipelines, pipeline templates and robust automation scripts to build, release and update applications and infrastructure components.
• Ensuring repeatability and ease of management for future deployments.
• Packaging applications using Helm-Charts
• Upgrade application servers and agents, at least twice per year.
• Support the Development teams (C1-2) on their CI/CD tasks.
• Offer training and knowledge transfer sessions to ensure smooth usage of our CI/CD Platform.
• Measure and report on metrics like cycle time, time to value (TTV), uptime and error rate, and team retention rate.  Reports on CI/CD Usage

Qualifications

Mandatory:

• Bachelor's degree plus 10 year's of relevant experience.
• A minimum of 5 years of experience in CI/CD Platforms.
• A minimum of 3 years in Azure DevOps Server administration.
• A minimum of 2 years on application deployments on Kubernetes.
• Expertise and knowledge in Azure DevOps Server and Service administration.
• Excellent knowledge of CI/CD Pipelines creation and configuration. Knowledge of DevOps principles and best practices (automation, pipelines, improve efficiency, feedback loops, fail fast, etc.).
• Excellent knowledge of application containerization, packaging and deployment on Kubernetes clusters (helm charts, operators, pipelines).
• Good knowledge of infrastructure as code tools (IaC) tools and methodologies, such as terraform or puppet.
• Certification: Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
• Very good command of English equal to B2 according to CERF level.

Desirable:

• Certification: Microsoft Certified: DevOps Engineer Expert [AZ-400]

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