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    Uvation

    Technology

    Azure DevOps Engineer

    Any, PolandOn-SiteContractPosted 1w ago
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    Job description

    Job Overview:

    We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems.

    Senior Level - L3

    Required Azure Cloud Experience

    Key Responsibilities:

      •  Azure Cloud Management:

      •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

      •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools.

      •  Monitor and optimize the performance, scalability, and cost of Azure services.

      •  CI/CD Pipeline Development:

      •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure.

      •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation.

      •  Ensure proper version control and release management practices are followed.

      •  Linux Administration:

      •  Manage and maintain Linux servers, ensuring high availability, security, and performance.

      •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef.

      •  Troubleshoot and resolve system-related issues, including networking, security, and application performance.

      •  Security and Compliance:

      •  Implement and enforce security best practices for both Azure cloud services and Linux servers.

      •  Conduct regular security assessments and audits, applying patches and updates as necessary.

      •  Ensure compliance with relevant regulations and industry standards.

      •  Collaboration and Support:

      •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency.

      •  Provide support for production systems, including on-call rotations as needed.

      •  Document processes, configurations, and best practices for both Azure and Linux environments.

    Required Skills and Qualifications:

      •  Technical Expertise:

      •  Proven experience with Azure cloud services, including VM management, networking, storage, and security.

      •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS.

      •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar.

      •  Proficient in scripting languages such as Bash, PowerShell, or Python.

      •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.

      •  Problem-Solving:

      •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.

      •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments.

      •  Soft Skills:

      •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

      •  Strong documentation skills and attention to detail.

      •  Ability to work independently and manage multiple priorities in a fast-paced environment.

    Preferred Qualifications:

      •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer).

      •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps.

      •  Experience with network security and VPN configuration in cloud environments.

      •  Familiarity with database management in cloud environments (SQL, NoSQL).

    Job details are sourced from the employer's original posting.

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    About the company

    Uvation

    Uvation is a technology company specializing in AI and machine learning solutions.

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