Network Automation Engineer
Reliance Jio Infocomm Limited
Job Description
About the Company Develop and maintain network automation tools and scripts for operational activities. About the Role Automate network provisioning, configuration validation, and health-check processes. Responsibilities Handle advanced troubleshooting for network and automation-related issues.
Work on Linux-based automation and infrastructure management tasks. Develop Python and Shell scripts for operational efficiency and workflow optimization. Integrate automation workflows with APIs and network management platforms.
Monitor automation jobs and ensure successful execution in production environments. Support incident handling, RCA preparation, and preventive automation improvements. Coordinate with network, operations, and infrastructure teams for issue resolution.
Maintain automation documentation, SOPs, and technical reports. Work on AI-driven and Agentic AI-based automation use cases. Support deployment validation and post-implementation checks.
Participate in shift-based operations support if required. Qualifications Minimum 6 years of experience in Network Automation, Infrastructure Automation, or Telecom Operations environments. Required Skills Strong knowledge of networking concepts including TCP/IP, Routing, Switching, and MPLS.
Hands-on experience in Python scripting and Linux Shell scripting. Good understanding of Linux administration and troubleshooting. Experience with REST APIs, JSON/XML parsing, and automation workflows.
Knowledge of Git/GitHub version control. Exposure to Docker, Ansible, or infrastructure automation tools. Understanding of monitoring, logging, and alerting tools.
Experience in network fault handling and troubleshooting. Exposure to Agentic AI, AI-assisted automation, or LLM-based workflows. Strong analytical, troubleshooting, and problem-solving skills.
Ability to work in production and high-pressure operational environments. Good communication and stakeholder coordination skills. Ability to work independently and collaboratively within teams.