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Senior AWS DevOps Engineer – AI/ML Platforms @

2 weeks ago

Remote, Czech Republic AVENGA Full time

Must-Have Experience:

  • 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
,[Design, develop, and maintain a secure and scalable multi-tenant AWS platform for Data Scientists and ML Engineers, 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, Troubleshoot infrastructure, pipeline, or application issues across the AWS environment] Requirements: Cloud, AWS, IAM, VPC, AWS EC2, Amazon EKS, Git, Bash, Python, Docker, Kubernetes, AKS, CD pipeline, Argo, CD, Prometheus, Grafana, MLOps, MLflow, Kubeflow, Machine learning, Machine Learning, GCP, Azure, Communication skills, Team work Additionally: Sport subscription, Training budget, Private healthcare, International projects.