DevOps Engineer (38805)

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Praha
3/2025 (9m+)
Vertrag über CP
99%
140 000 CZK
Diese Position ist derzeit nicht verfügbar

I am looking for a senior DevOps Engineer, who will be responsible for designing, implementing, and managing CI/CD pipelines, automating infrastructure using tools like Terraform and Ansible, and optimizing cloud infrastructure on AWS, Azure, or GCP. Additionally, you’ll work with Docker and Kubernetes for containerization, monitor system performance, and enhance security practices. If you have over 9 years of experience in DevOps and are passionate about mentoring, collaboration, and driving innovation, apply now.

🚀 Project
- maintaining cutting-edge knowledge of GenAI technologies and DevOps practices
- designing, implementing, and managing CI/CD pipelines to automate software delivery processes
- developing and maintaining infrastructure as code using Terraform, Ansible, or CloudFormation
- implementing containerization solutions using Docker and Kubernetes
- optimizing and managing cloud infrastructure on platforms such as AWS, Azure, or GCP
- monitoring system performance and troubleshooting issues using tools such as Prometheus and Grafana
- enforcing and enhancing security protocols and best practices to safeguard GenAI systems and data
- collaborating with development and operations teams to ensure seamless integration and performance
- mentoring and guiding junior engineers in best practices for DevOps methodologies
- participating in technical reviews, contributing to team knowledge sharing and continuous improvement initiatives
- documenting processes, configurations, and architectures to maintain clarity and knowledge transfer


🎯 Skills
- minimum of 9 years in DevOps or a related field
- CI/CD tools (Jenkins, GitLab CI, CircleCI)
- infrastructure as code tools (Terraform, Ansible, CloudFormation)
- containerization technologies (Docker, Kubernetes)
- Cloud platforms and DevOps services (AWS, Azure, GCP)
- Azure AI technologies (Azure Kubernetes, Azure OpenAI, Azure EventHub, Azure Data Lake)
- Azure DevOps Pipeline (CI/CD) and similar automation tools
- familiarity with monitoring and logging tools (Prometheus, Grafana)
- scripting skills (PowerShell, Bash, Python)
- university degree in Computer Science, Engineering, or a related field

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