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AL
Infrastructure Engineer
Aily Labs · Barcelona, Spain
About The Role
Join our Infrastructure Team as an Infrastructure Engineer. In this role, you will deploy and maintain our cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform and Terragrunt. You will support the deployment and maintenance of containerized applications on Kubernetes clusters, assist in deploying and maintaining infrastructure solutions on Azure and AWS, and help develop and maintain automation processes using Python. You will collaborate with various teams, document infrastructure processes, and participate in troubleshooting and optimizing infrastructure processes.
- Contribuer au déploiement et à la maintenance de l'infrastructure cloud en utilisant des outils d'Infrastructure as Code (IaC) comme Terraform et Terragrunt.
- Automatiser les opérations, améliorer l'efficacité et garantir la stabilité de l'infrastructure, en particulier pour les applications conteneurisées sur Kubernetes.
- Collaborer avec les équipes de développement, de sécurité et d'autres équipes de plateforme pour assurer le bon fonctionnement des opérations.
- Identify as a platform engineer, SRE or DevOps engineer
- 4+ years of experience in infrastructure engineering, software engineering, or related fields
- Eager to learn and adapt to new technologies, particularly in the Kubernetes ecosystem
- Experience with GitOps in production
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Actively use modern AI tooling e.g. Claude Code
- CI/CD pipeline experience, ideally with GitHub Actions
- Experience with Python scripting or other programming languages for automation
- Excellent hands-on Kubernetes
- Understand and apply Infrastructure as Code (IaC) concepts, specifically Terraform
- Good English communication skills and ability to work effectively in a team
- Strong problem-solving abilities and attention to detail
- Experience with Helm charts for Kubernetes deployments
- Hands-on AWS experience in production
- Kubernetes certifications (CKA, CKAD) or actively pursuing them
- Familiarity with DataDog or similar monitoring tools for Kubernetes
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