Network Automation Engineer

The Role

Our Client is seeking an experienced Network Automation Engineer with strong hands-on expertise in NetBrain to accelerate the automation of network incident diagnostics, evidence collection and operational workflows. The role will work alongside Network Operations, engineering, tooling and service-management teams to convert repeatable troubleshooting knowledge into secure, reusable and auditable automation.

Key Responsibilities

• Analyse incident, alert and service-management data to identify and prioritise automation opportunities.
• Design, build, test and deploy NetBrain PDAs, Runbooks, Qapps, Data Views, Dynamic Maps, Network Intents and associated templates.
• Translate existing playbooks, standard operating procedures and senior-engineer troubleshooting practices into deterministic automation workflows.
• Configure triggered and interactive diagnostic workflows for incidents and monitored events, with clear guardrails, approvals and exception handling.
• Integrate NetBrain with ServiceNow, DX NetOps Spectrum and other monitoring, observability and orchestration platforms using supported APIs and integration patterns.
• Automate collection of device state, topology, paths, configurations, logs and relevant telemetry, and make outputs available within the incident workflow.
• Work with CMDB and inventory teams to validate device, service, dependency and configuration-item data required for reliable correlation and routing.
• Develop pre-change and post-change validation, configuration-drift and compliance checks where prioritised by the product owner.
• Partner with L1, L2 and L3 network teams to validate diagnostic logic across representative incidents, vendors and technologies.
• Apply secure engineering, change management, maker-checker, testing, rollback, access-control and audit requirements expected in a regulated financial-services environment.
• Produce design documentation, support procedures, test evidence, operational metrics and knowledge-transfer material.

Key Requirements

• Strong hands-on experience administering and engineering solutions on the NetBrain platform in a large, complex enterprise environment.
• Demonstrable delivery of NetBrain automation using PDA, Dynamic Maps, Runbooks, Qapps, Data Views and Network Intent.
• Strong network engineering fundamentals, including TCP/IP, routing and switching, BGP, OSPF, VLANs, MPLS, VPNs, NAT, ACLs, DNS, DHCP and load-balancing concepts.
• Practical troubleshooting experience across multi-vendor network estates such as Cisco, Juniper, Arista, Fortinet, Palo Alto Networks or F5.
• Experience integrating network platforms with ITSM, monitoring or observability tools, preferably ServiceNow and DX NetOps Spectrum.
• Ability to interpret alarms, telemetry, configurations, routing tables, logs and packet or path information to develop reliable diagnostic logic.
• Working knowledge of APIs, JSON, regular expressions and automation or Scripting technologies such as Python and Ansible.
• Experience with the complete engineering lifecycle: requirements, design, build, peer review, test, deployment, monitoring, support and controlled rollback.
• Understanding of CMDB/CI quality, service dependency mapping and their impact on event correlation and automated routing.
• Strong analytical, documentation and stakeholder-management skills, with the ability to explain technical decisions clearly to operations and engineering audiences.
• Experience working within incident, problem and change-management processes in a controlled production environment.

Desirable

• Experience delivering network automation in banking, financial services or another highly regulated and security-conscious enterprise.
• NetBrain product training or certification, or equivalent evidence of advanced platform capability.
• Experience with Splunk, ThousandEyes, Cisco Prime, Git-based version control and CI/CD practices.
• Knowledge of hybrid networks spanning data centres, campus, WAN, SD-WAN, cloud, firewalls and application delivery.
• Exposure to SRE practices, operational telemetry, service-level indicators and toil-reduction programmes.
• Experience defining value measures such as reduction in MTTR, diagnostic time, manual touchpoints, repeat incidents and avoidable escalations.