Project description

• design, development, and maintenance of reliable cloud and AI/ML platforms for massive enterprise utilization
• collaboration within a dedicated DevOps team on the development of end-to-end ML workflows and solving complex business challenges through the integration of GenAI and LLM models into a production environment
• architecture and management of infrastructure as code with intensive use of AWS, Azure, Kubernetes, Terraformtechnologies, and advanced development in Python
• building and optimizing CI/CD pipelines through GitHub Actions and ensuring comprehensive secure deployment
• setting up and maintaining advanced monitoring and logging using the Prometheus, Grafana, and Loki stack (without the need for on-call support)
• containerizing applications via Docker and managing the machine learning lifecycle using tools like Kubeflowand SageMaker
• collaboration takes place in a 100% remote mode within the entire EU

Project requirements

• Advanced experience with:
  • software architecture development and design in Python (minimum 5 years of experience)
  • cloud platform, primarily AWS or Azure (including services like SageMaker or Bedrock)
  • container orchestration and cluster management in Kubernetes (e.g., EKS)
  • infrastructure as code and its automation using Terraform
  • MLOps tools, especially integration and maintenance of Kubeflow
• Experience with:
  • containerization and optimization of performance and security using Docker
  • creation and debugging of complex CI/CD pipelines, ideally via GitHub Actions
  • deployment and work with end-to-end ML workflows and integration of LLM and GenAI
  • monitoring and logging systems like Prometheus, Grafana, or Loki
• Advanced knowledge of:
  • CI/CD principles, security practices, and DevOps culture
  • theoretical foundations and production deployment of a wide range of ML algorithms
  • model registry, model performance monitoring, and data quality monitoring
• Advantageous:
  • experience with advanced Kubernetes features, such as operators
  • experience with the Dynatrace platform

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