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System Admin/Engineer

dew-software · 30+ days ago
Negotiable
Full-time
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Dew Software, a prominent player in the Digital Transformation industry, is currently seeking a skilled and adaptable System Admin/Engineer to join our team. As a System Admin/Engineer at Dew Software, you will play a crucial role in ensuring the stability, security, and optimum performance of our clients' IT systems. You will have the opportunity to work on a variety of projects and collaborate with cross-functional teams to design, implement, and maintain robust infrastructure solutions.


Responsibilities

  • Maintain and monitor the stability, security, and performance of clients' IT systems.
  • Install, configure, and maintain server operating systems, hardware, and software.
  • Troubleshoot and resolve hardware, software, and network issues.
  • Manage user accounts, permissions, and access rights.
  • Collaborate with cross-functional teams to design and implement infrastructure solutions.
  • Create and maintain documentation related to system configurations and procedures.
  • Stay up-to-date with emerging technologies and industry best practices.

Requirements

  • Good knowledge of Manage Engine UEMS with minimum of 2-4 years of experiene.
  • Expert in Microsoft OS (Windows 10, 11).
  • Expert in Misc Hardware related troubleshooting
  • Work with MTT on daily basis to identify machines for SP upgrade, hands and feet support.
  • Work with IT security on daily basis to fix any IT security or network issue.
  • Work with Firoz daily to execute the project. Troubleshoot independently for any OS, or hardware issue.
  • Work with OEM for hardware issues Work with Microsoft for OS issues.
  • Work with ManageEngine for application related issues.
  • Work with the Server team for domain, GP related issues.

Benefits

  • Azure Infrastructure Experience: Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment.
  • CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes.
  • Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models.
  • Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various ML algorithms and frameworks.
  • Programming Skills: Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch.
  • Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning.
  • Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs.
  • Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses.

Last updated on Aug 22, 2024

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