Quick overview
Job description
Network Engineer (Observability, Automation & Trading Infrastructure)
Our client is an exceptional global investment management firm seeking a Network Engineer to join one of the most sophisticated engineering environments in financial services. Known for attracting top-tier technology talent and investing heavily in automation, infrastructure, and innovation, the firm operates a world-class global trading platform where technology sits at the heart of the business. This is a rare opportunity for a Network Engineer to work on highly complex, business-critical infrastructure while helping shape the future of a global network that directly supports investment and trading activity. As a Network Engineer, you'll have the chance to solve challenging problems, drive strategic engineering initiatives, and influence how the network evolves at scale. This role offers far more than traditional network support, making it an outstanding opportunity for an ambitious Network Engineer looking to accelerate their career.
They are looking for a Network Engineer with a genuine passion for automation, observability, and continuous improvement. The ideal Network Engineer is a curious problem solver who enjoys challenging the status quo, eliminating manual processes, and building scalable solutions that have a tangible impact on the business. This is an environment for a Network Engineer who thrives on ownership, takes initiative without being asked, and wants to be surrounded by high-calibre engineers solving complex technical challenges. If you're someone who wants to influence architecture, drive innovation, and work at the cutting edge of networking technology, this opportunity offers that in abundance.
Key Responsibilities
- Drive the firm's observability strategy through advanced telemetry, monitoring, alerting, and analytics capabilities.
- Design, build, and enhance a highly available global multi-vendor network supporting critical trading infrastructure.
- Develop automation frameworks and self-service tooling that improve scalability, reliability, and operational efficiency.
- Partner directly with technology and investment teams to deliver innovative networking solutions aligned with business goals.
- Lead initiatives that modernise network operations through automation and engineering best practices.
- Act as a senior escalation point for complex performance, reliability, and infrastructure issues.
- Define standards and architectural best practices across the network environment.
- Troubleshoot intricate cross-domain issues spanning networking, cloud infrastructure, automation, and observability platforms.
- Identify opportunities to improve resilience, performance, and operational excellence across the global network estate.
- Participate in a highly collaborative engineering culture that values innovation, learning, and technical excellence.
Key Skills & Experience
- Strong background in network engineering with significant experience in automation and observability.
- Hands-on expertise with technologies such as Prometheus, Grafana, Telegraf, Cisco Telemetry, gNMI, and YANG.
- Experience with traditional monitoring and visibility platforms including Zabbix, LibreNMS, and SNMP.
- Proven automation experience using Python, Ansible, NetBox, Jinja, Git, Terraform, NETCONF, RESTCONF, and related tooling.
- Deep understanding of networking technologies and protocols including BGP, OSPF, PIM, and IGMP.
- Experience supporting large-scale, highly available enterprise or trading networks.
- Strong AWS networking and cloud infrastructure experience.
- Ability to diagnose and resolve complex issues across multiple technologies and environments.
- Excellent communication skills with the ability to engage technical and non-technical stakeholders.
- A proactive, ownership-driven mindset with a passion for continuous improvement and engineering excellence.
- Experience operating successfully within fast-paced, high-performance environments.
- Strong problem-solving skills and the ability to think independently when tackling complex technical challenges.
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