Network Observability & Automation Engineer

Join a team building and evolving observability and automation capabilities for a global, high-performance multi-vendor trading network. This role is ideal for an engineer passionate about scalable monitoring, telemetry, automation, and operational excellence in complex network environments.
Requirements:
Strong hands-on experience with network observability and automation Practical expertise with modern observability stack: Prometheus, Grafana, Telegraf, telemetry technologies (gNMI, YANG, Cisco Telemetry) Experience with monitoring platforms such as Zabbix, LibreNMS, and SNMP-based environments Strong scripting and automation skills using Python, Ansible, Jinja, and Git Familiarity with automation and infrastructure tooling including Terraform, NetBox, NETCONF, and RESTCONF Experience supporting cloud networking environments (AWS preferred) Good understanding of networking fundamentals and protocols such as BGP, OSPF, PIM, and IGMP Proven troubleshooting skills within complex, large-scale infrastructure environments Who you are: Passionate about observability, automation, and scalable infrastructure Proactive, self-driven, and eager to continuously improve systems and processes Comfortable operating in fast-paced, mission-critical environments Strong communicator and collaborative problem solver
Must have: Network Observability, Automation, Prometheus, Grafana, Telegraf, Telemetry technologies, gNMI, YANG, Cisco Telemetry, Zabbix, LibreNMS, SNMP-based environments, Python, Ansible, Jinja, Git, Terraform, NetBox, NETCONF, RESTCONF, AWS, BGP, OSPF, PIM, IGMP, Troubleshooting skills, Communication skills
Daily tasks: - Build and enhance network observability platforms and automation frameworks
– Design scalable telemetry, monitoring, and alerting solutions across a global infrastructure
– Drive automation initiatives to improve network reliability, visibility, and operational efficiency
– Develop tooling and infrastructure integrations using Python and Infrastructure-as-Code principles
– Collaborate with technology and investment teams to deliver resilient business-critical solutions
– Troubleshoot complex network and observability issues in large-scale environments