Job Title

Role: Network Automation EngineerSkills: Routing/switching, Linux, Scripting, DevOps, KubernetesSalary: 500k+Location: LondonWant to apply Read all the information about this position below, then hit the apply button.The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, or hyperscale infrastructure). They have experience building networks from 01 and are comfortable operating across everything from baremetal Linux to modern build, observability, and automation stacks. This role sits at the intersection of advanced networking, largescale ML/AI platforms, and highend automation.Network Engineer OverviewThis elite trading firm is seeking a Network Engineer to join a small, highimpact engineering group supporting ML/AIdriven trading and research. You will work closely with teams running massive simulation, HPC, and network production workloads that depend on ultrareliable, ultrafast network platforms. You will own critical network infrastructure at scale and help shape the next generation of compute systems.Key ResponsibilitiesOwn the full life cycle of network engineering: design, implementation, and ongoing operations for latencysensitive and throughputheavy environments.Support large, distributed networks with expert knowledge of routing, switching, and multicast concepts, ensuring predictable performance under extreme load.Build and evolve network monitoring, alerting, and observability, integrating telemetry into operational and analytical data stores to support ML/AI and systematic strategies.Manage and optimise Kubernetes cluster networking and container orchestration, partnering with platform and ML infrastructure teams.Work extensively on the Linux command line, contributing to automation, tooling, and productiongrade reliability across baremetal and virtualised estates.Collaborate with DevOps and SRE functions to drive infrastructureascode, repeatable deployments, and highly automated change management.What You Will Work OnLowlatency network paths supporting execution, research, and largescale ML/AI training and inference.Inhouse proprietary platforms spanning fibre and microwave networks, dense data centre fabrics, and highperformance interconnects.Platform, configuration, and code contributions that directly improve endtoend latency, throughput, and reliability for critical trading and ML workloads.Automation frameworks that reduce operational toil, increase determinism, and provide deep, realtime visibility into network and system behaviour.Team EnvironmentSmall, highly skilled networks and systems engineering team with broad autonomy and a mandate to move quickly.Close collaboration with quants, researchers, ML engineers, and traders to codesign infrastructure around real performance needs.A culture centred on ownership, deep problemsolving, and performance engineering, where datadriven decisions and highquality automation are the default. xjdpvnf Interested candidates are encouraged to apply for a confidential conversation.