Remote DevOps Engineer - AI-Driven Cloud & Kubernetes

dotmatics

Ireland

Remote

EUR 90,000 - 130,000

Full time

5 days ago
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Job summary

Dotmatics, a Siemens company, seeks an experienced DevOps Engineer to join our global team. You will design and manage CI/CD pipelines for AWS-native and Kubernetes-based applications, embed security into the delivery lifecycle, and collaborate across product teams to advance cloud and container best practices.

This role supports a remote-friendly, high-integrity environment and offers significant impact on our science-driven platform.

Qualifications

  • 8+ years of experience maintaining high-traffic applications and complex infrastructure.
  • Hands-on experience translating AWS Well-Architected principles into action.
  • Strong understanding of CI/CD, cloud security, and containerization.
  • Experience with AI-assisted tooling in engineering workflows.

Responsibilities

  • Design and manage CI/CD and deployment pipelines for AWS-native and Kubernetes-based apps.
  • Provide guidance to product teams on deployment requirements.
  • Collaborate on cloud and container best practices.
  • Manage cloud IT infrastructure and automate deployments.
  • Embed security into every delivery stage (DevSecOps) with automated scans.
  • Establish guardrails for IAM, encryption, and secrets management.
  • Harden Kubernetes clusters and cloud environments using policy-as-code.
  • Support vulnerability management, incident response, and compliance efforts.
  • Utilize AI-assisted tooling to accelerate pipeline development.

Skills

DevOps engineering
Cloud architectures
Security practices

Tools

Kubernetes
AWS (ECS, EKS, ALB, EC2, S3)
Terraform
CloudFormation
Pulumi
CI/CD tools
Octopus Deploy
GitHub Actions
Jenkins
TeamCity
CodePipeline
Datadog
Grafana
Prometheus
ELK stack
App Insights

Job description

Dotmatics, a Siemens company, seeks an experienced DevOps Engineer to join our global team. You will design and manage CI/CD pipelines for AWS-native and Kubernetes-based applications, embed security into the delivery lifecycle, and collaborate across product teams to advance cloud and container best practices.

This role supports a remote-friendly, high-integrity environment and offers significant impact on our science-driven platform.

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