Automation Engineer

Automation Engineer – Network ObservabilityWe are looking for an Automation Engineer to develop and maintain automation capabilities supporting enterprise network operations. The role focuses on automating network diagnostics, configuration management, compliance validation, change execution and operational workflows using Ansible, Python and modern DevOps practices. The engineer will work closely with Network Operations, Network Engineering and Observability teams to reduce manual effort and improve operational reliability.Key ResponsibilitiesDevelop Ansible playbooks for network diagnostics, configuration deployment and operational workflows.Build automation for multi-vendor enterprise networks.Develop Python and NodeJS utilities supporting network operations.Integrate automation with monitoring tools, ITSM platforms, CMDBs and notification systems.Automate configuration backup, compliance validation and drift detection.Build automated diagnostics for routing, switching, wireless, SD-WAN and firewall environments.Create reusable automation libraries and playbook repositories.Support CI/CD pipelines for automation content.Participate in troubleshooting complex network issues using automation.Maintain automation documentation and coding standards.Required SkillsAutomation: Ansible, AWX / Automation Controller, YAML, Git, Jenkins or Azure DevOpsProgramming: Python, JavaScript / NodeJS, Bash, PowerShellNetworking: Working knowledge of TCP/IP, Routing, Switching, VLANs, BGP, OSPF, QoS, Wireless, SD-WAN, Firewalls, VPNsNetwork APIs: Experience with REST APIs, NETCONF, RESTCONF, Cisco APIs, Arista APIs, Palo Alto APIsInfrastructure: Linux, Docker, Kubernetes, Terraform, Cloud networkingDatabases: PostgreSQL, MongoDB, MySQLPreferred SkillsCisco DevNet certificationRed Hat Ansible certificationExperience with Cisco Catalyst Center, Arista CloudVision or OpenText Network Automation.Experience with ServiceNow integration.Familiarity with streaming telemetry and event-driven automation.Experience building automated network diagnostics and self-healing workflows.