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Senior DevOps Professional

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Dublin, Dublin City, Ireland beBeeDevOps Full time €100,000 - €120,000

Our organization is seeking a skilled Senior DevOps Engineer to join their development team. The successful candidate will work on modern web and mobile applications built with React, Node.js, and React Native.

Key Responsibilities:
  • Design, implement, and maintain robust Continuous Integration/Continuous Deployment pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools.
  • Automate testing, builds, deployments, and rollbacks for web and mobile applications.
  • Integrate quality gates, security scans, and performance checks into pipelines.
Containerization & Local Development:
  • Develop and maintain Docker-based local development environments.
  • Partner with developers to standardize tooling for local development, testing, and debugging.
  • Support developers in adopting container-first workflows.
Cloud Infrastructure & IaC:
  • Manage cloud infrastructure using Infrastructure as Code (e.g., Bicep, Terraform).
  • Implement scalable, secure, and observable cloud environments.
  • Collaborate with developers to design cloud-native architectures.
Monitoring & Observability:
  • Help set up and maintain monitoring, logging, and alerting systems (e.g., Azure Monitor, Application Insights, Datadog, New Relic, Grafana).
  • Enable proactive incident detection and resolution.
AI-Augmented DevOps:
  • Evaluate and integrate AI tools to support code reviews, incident triage, test generation, and documentation.
  • Champion the use of AI agents to improve developer productivity and operational efficiency.

Required Skills and Qualifications:

  • Strong experience with Azure Cloud services.
  • Proficiency in Docker and container orchestration.
  • Experience with CI/CD tools.
  • Familiarity with JavaScript/TypeScript ecosystems, especially React, Node.js, and React Native.
  • Hands-on experience with Infrastructure as Code.
  • Knowledge of monitoring and observability tools.
  • Exposure to AI/ML tools in DevOps contexts.