Azure DevOps Lead

25 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

Talentship empowers small and medium-sized enterprises (SMEs) to thrive in the digital era with tailored IT solutions and AI integration. With over 25 years of expertise in data, software development, and infrastructure, Talentship assists organizations in modernizing their IT systems, optimizing AI applications, and scaling tech teams effectively. Supported by 8 seasoned CTOs and 100 expert developers, we offer customized strategies, actionable roadmaps, and comprehensive training to ensure sustainable AI adoption. Talentship has a proven track record of implementing AI transformations, including successful projects in collaboration with the Fraunhofer Institute.

Role Description

We are seeking an Azure DevOps Lead for a full-time, on-site position in Guindy. The Azure DevOps Lead will oversee end-to-end DevOps processes, including designing, implementing, and managing Azure DevOps solutions. Day-to-day responsibilities include developing CI/CD pipelines, automating workflows, ensuring system security, and collaborating with cross-functional teams to improve delivery frameworks. Additionally, the role involves mentoring junior team members and driving innovation in DevOps practices to align with organizational goals.

Qualifications

  • Proficiency in Azure technologies, DevOps solutions, and cloud infrastructure management
  • Experience in building, maintaining, and optimizing CI/CD pipelines using tools like Git, Jenkins, or Azure Pipelines
  • Strong skills in scripting and automation using PowerShell, YAML, or Python
  • Knowledge of containerization technologies such as Docker and Kubernetes
  • Expertise in monitoring tools and practices for system performance and security
  • Ability to troubleshoot and resolve infrastructure and deployment-related challenges
  • Proven leadership experience in mentoring technical teams and fostering collaboration
  • Bachelor’s degree or higher in Computer Science, Information Technology, or related field
  • Microsoft Azure Certifications and familiarity with AI/ML workflows are a plus

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