Job Description
Real Time Kernel Observability Engineer | Contract | Inside IR35 | Hybrid London
We're working with a global Real Time data platform operating in ultra-low latency, high-throughput environments across distributed systems.
This role sits in a specialist engineering team building Kernel-level observability and telemetry infrastructure used to monitor and understand system behaviour in Real Time.
What you'll be doing
* Build Kernel-level observability and instrumentation systems for distributed Real Time infrastructure
* Develop telemetry pipelines using eBPF-based tooling (metrics, logs, traces at Kernel level)
* Design and implement system-wide visibility across latency-critical services
* Work with hotspot detection, performance profiling, and system behaviour analysis
* Extend low-level instrumentation where required (Linux Kernel tracing, high-efficiency data capture)
* Contribute to observability architecture across high-scale distributed systems
We are looking for engineers with strong experience in:
* eBPF/BPF/bpftrace/BCC
* Kprobes/uprobes/Kernel tracing
* Cilium/Grafana Beyla/XDP
* Linux Kernel instrumentation or performance engineering
* Low-latency or high-performance distributed systems
* Strong systems programming background (C++, Go or Rust preferred)
* Python/Java for higher-level services
* Kubernetes/cloud-native infrastructure
* Observability concepts (metrics, logs, traces, SLI/SLOs)
Contract details
* Hybrid working (London)
* Inside IR35
* Long-term contract
* Global Real Time data platform environment
For more information please apply now or contact job poster for details.