4 of 4 Low Latency Jobs in Crawley

into a technical leadership role, driving architecture, improving performance, and ensuring the system is built to world-class standards. If you've built ultra-low-latency trading systems before and want to take full responsibility for a new Rust-based platform, this is an opportunity to shape … up. Key Experience Needed Extensive experience designing and developing high-frequency trading systems Strong experience working on Rust with a track record of building low-latency, high-throughput production systems Proven ability to lead the build of execution engines, market-making platforms, or similar low-latency ...

technical foundation for customer-facing DDoS capabilities. Basic qualifications 6+ years building production backend systems (at least 3 years in high-scale or low-latency environments). Proficiency in one or more: Java/Python/C Rust/Go Strong preference for Java for control-plane/… gates from prototype to GA. Collaborative, inclusive engineering culture with code reviews, design docs, and knowledge sharing. What you'll do Design and build low-latency backend services for DDoS detection, classification, and mitigation across OCI's global edge. Implement scalable data and control planes (policy, signaling, telemetry ...

with clear ROI. Lead new service development from concept and business case through GA: PRDs, architecture, stage gates, resourcing, and launch readiness. Deliver low-latency, high-availability backend services for detection, classification, and mitigation across OCI's global edge. Drive scalable data and control planes (policy, signaling, telemetry … with clear ROI. Lead new service development from concept and business case through GA: PRDs, architecture, stage gates, resourcing, and launch readiness. Deliver low-latency, high-availability backend services for detection, classification, and mitigation across OCI's global edge. Drive scalable data and control planes (policy, signaling, telemetry ...

advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI, including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks ...