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Cloud Infrastructure Engineer

2 weeks ago

Remote, Czech Republic beBee Careers Full time

Job Summary:

We are seeking a highly skilled Cloud Infrastructure Engineer to design, develop, and maintain a secure and scalable multi-tenant AWS platform for Data Scientists and ML Engineers.

Key Responsibilities:

  • Automate cloud infrastructure using Terraform and follow Infrastructure-as-Code and GitOps best practices
  • Develop and manage CI/CD pipelines (GitLab, ArgoCD) to support efficient and reliable software delivery
  • Support deployment, monitoring, and maintenance of MLOps tools like Amazon SageMaker, MLflow, or Kubeflow
  • Ensure compliance with cloud architecture and security standards, including IAM and network configurations
  • Collaborate with cross-functional teams (Data Scientists, Developers, Platform Engineers) to enable end-to-end ML workflows

Requirements:

  • 4+ years in DevOps or Cloud Infrastructure roles
  • Strong hands-on experience with AWS services, including IAM, VPC, EC2, S3, and EKS
  • Proficiency in Terraform, Git, Bash, and Python
  • Experience with containerization (Docker) and orchestration (Kubernetes, EKS, GKE, or AKS)
  • CI/CD pipeline design using tools like GitLab, Argo CD
  • Familiarity with monitoring, logging, and alerting (e.g., CloudWatch, Prometheus, Grafana)

Nice to Have:

  • Experience with MLOps tools (e.g., SageMaker Studio, MLflow, Kubeflow)
  • Background in Machine Learning or Data Science workflows
  • Understanding of Service Catalog item deployment and management
  • Exposure to multi-cloud environments (GCP, Azure)

Soft Skills & Other Requirements:

  • Good communication skills and ability to work in cross-functional teams
  • English at minimum B2 level
  • Understanding of Agile and DevOps principles
  • Strong analytical thinking and problem-solving skills

Benefits:

  • Sport subscription
  • Training budget
  • Private healthcare
  • International projects