Network Admin/ DevOps Job

Job Overview
We are seeking a Junior Network Admin DevOps professional to join our team in Ahmedabad. This position requires a minimum of 1 year and a maximum of 3 years of relevant work experience. The ideal candidate will support our software development projects by ensuring the efficiency and performance of our network systems and DevOps processes.

Qualifications and Skills
A bachelor's degree in Computer Science, Information Technology, or a related field.
A minimum of 1 year and a maximum of 3 years of work experience in network administration and DevOps roles.
Proficiency in AWS, which is a mandatory skill (Mandatory skill).
Strong programming skills in Python for scripting and automation tasks.
Experience in data visualization techniques and tools.
Knowledge of predictive modeling and its applications in network and DevOps environments.
Experience working with big data technologies for efficient data handling and processing.
Proficiency in SQL for database management and querying.
Skills in data mining to extract valuable insights from large datasets.
Excellent problem-solving abilities and a proactive approach to handling network and system issues.

Roles and Responsibilities
Monitoring, maintaining, and optimizing network infrastructure to ensure efficient performance.
Implementing and managing AWS-based solutions and services.
Developing and maintaining Python scripts for task automation and system administration functions.
Creating data visualization dashboards to present network performance and system metrics.
Applying predictive modeling techniques to anticipate network issues and optimize performance.
Managing big data systems to handle large volumes of data effectively.
Querying, updating, and managing databases using SQL.
Utilizing data mining techniques to derive actionable insights for network and system enhancements.
Collaborating with team members and other departments to ensure seamless integration of network and DevOps solutions.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.