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Wallet icon Coin icon Rate 160 000 CZK - 180 000 CZK / month info
Timer icon Form of cooperation Full-time / 95% Remote
Briefcase icon Sector Information Technology
Location icon Location Praha

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with the possibility of extension
Period of cooperation 18.08.2025 - 17.08.2026
Start date 18.08.2025 or by agreement
Technology
  • AWS Amazon Web Services
  • MS Azure
  • Teradata
  • Kubernetes
  • Docker
  • Azure Data Lake
Languages
  • English flag English - active, B2/C1/C2

Project description

  • Design, implementation, and management of CI/CD pipelines for automating deployment processes
  • Development and maintenance of infrastructure as code using Terraform and Pulumi tools
  • Containerization orchestration using Docker and Kubernetes
  • Optimization and management of cloud infrastructure on the Microsoft Azure platform
  • Monitoring system performance and incident resolution using tools such as Prometheus, Grafana, Datadog, and Splunk
  • Adherence to and improvement of security standards and data protection policies
  • Collaboration with the development and operations team in the deployment of new solutions
  • Participation in technical reviews and contribution to internal knowledge sharing
  • Documentation of processes, configurations, and architectures for the transferability of know-how
  • Maintaining current knowledge in the field of GenAI and modern DevOps technologies

Project requirements

  • Minimum 9 years of experience in DevOps or a related technical role
  • Excellent analytical and problem-solving skills
  • Ability to lead projects independently
  • Excellent communication and coordination skills
  • Advanced knowledge of:
    • CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, GitLab CI)
    • Infrastructure as code tools (Terraform, Pulumi, Bicep)
    • Containerization technologies (Docker, Kubernetes)
    • Knowledge of scripting languages (PowerShell, Bash, Python)
  • Experience with:
    • Microsoft Azure cloud and its DevOps services
    • Azure AI technologies (Azure Kubernetes, OpenAI, EventHub, Data Lake, etc.)
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