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Senior DevOps Engineer

Dublin, Ireland

As part of the Platform Engineering team, you'll help drive the evolution of a cloud-native environment, focusing on infrastructure automation, containerisation and platform reliability. This role would suit someone who enjoys designing scalable cloud platforms, automating infrastructure, and continually improving engineering practices.

Required skills:

  • At least 3+ years experience in a Senior Platform Engineer, Cloud Engineer or DevOps Engineer position
  • Strong hands-on AWS experience, including designing highly available and resilient cloud environments
  • Proven experience working with AWS ECS and container-based workloads
  • Experience delivering container migration projects
  • Strong knowledge of AWS services covering compute, networking, databases and security
  • Commercial experience with Terraform and Infrastructure as Code
  • Hands-on experience implementing and managing Datadog
  • Strong scripting skills using Python and/or Bash
  • Good understanding of cloud security, container security and infrastructure best practices
  • Strong communication skills with the ability to collaborate across engineering teams
  • Comfortable managing multiple priorities within an Agile delivery environment

Key responsibilities & duties include: 

  • Design, implement and support scalable AWS infrastructure
  • Lead the migration of containerised applications to AWS ECS
  • Build and maintain Infrastructure as Code using Terraform
  • Develop and improve CI/CD pipelines with GitHub Actions
  • Configure and optimise monitoring, alerting and observability using Datadog
  • Partner with software engineering teams to streamline deployments and improve platform usability
  • Ensure security, resilience and operational best practices are embedded across the platform
  • Troubleshoot infrastructure and production issues while driving long-term improvements
  • Contribute to platform architecture and cloud engineering standards
  • Support continuous improvement initiatives across automation, performance and reliability

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