DevOps Engineer (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
DevOps Engineer (AWS/Kubernetes): Creating and maintaining the core infrastructure for a vacation rental platform with an accent on automation, scalability, and system reliability. Focus on implementing Infrastructure as Code, optimizing CI/CD pipelines, and improving observability across the tech organization.
Location: Hybrid in Munich, Germany (50% in-office time required)
Company
is one of the world’s fastest-growing vacation rental technology companies, focused on simplifying the booking and hosting process for holiday homes.
What you will do
- Implement and maintain infrastructure definitions using Terraform, Pulumi, or AWS CDK.
- Manage and monitor AWS services to ensure system performance, availability, and adherence to best practices.
- Maintain and troubleshoot Kubernetes clusters, including deploying workloads and upgrading EKS.
- Improve CI/CD pipelines using Jenkins, GitHub Actions, ArgoCD, and ArgoRollouts.
- Extend the monitoring stack (Prometheus, Grafana) and improve observability.
- Automate operational tasks using Python, Bash, or Go and AI-powered tools like N8N.
Requirements
- 4+ years of experience in a DevOps, SRE, or cloud engineering role with production experience.
- Solid experience with AWS services (EC2, EKS, S3, RDS, Lambda).
- Hands-on experience with Docker and Kubernetes in production environments.
- Practical experience with Infrastructure as Code tools such as Terraform or Pulumi.
- Proficiency in scripting with Python, Bash, or Go for automation.
- Must be able to work from the Munich office 50% of the time.
Nice to have
- Experience with Helm charts and GitOps workflows (ArgoCD, Flux).
- Familiarity with prompt engineering and AI tools to augment DevOps workflows.
- Experience with cost optimization strategies for cloud infrastructure.
- Exposure to SRE practices (SLOs, error budgets) and DevSecOps.
Culture & Benefits
- Hybrid work model with the option to work from other locations for up to 8 weeks per year.
- Personal learning budgets with a strong emphasis on AI growth.
- International and ambitious team environment with a culture of curiosity and feedback.
- Travel benefits and gym discounts.
- Modern tech stack and a scale-up pace combined with business stability.
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