Top Tech Jobs & Startup Jobs in London

Design and implement a scalable cloud detection engine that processes billions of events across multi-cloud environments. Build custom query languages, event orchestration and correlation systems, collaborate with security researchers to convert detections into production features, lead backend engineering, mentor teammates, and improve architecture, performance, and reliability using Go, cloud platforms, Kafka, Cassandra, Docker and related technologies.

Design, architect, and develop scalable Go-based microservices and REST APIs for threat detection, case management, and incident response. Lead system design, own technical initiatives, mentor engineers, integrate AI/LLM capabilities, operate cloud-native services on Docker/Kubernetes and cloud platforms, participate in on-call rotation, and drive reliability and architectural improvements.

Manage a cross-discipline team of Front End and Cloud engineers, focusing on building tools and interfaces for Falcon Complete, ensuring quality and reliability while developing product roadmaps.

Build and maintain ultra-high-scale data platforms and pipelines (petabyte scale). Write fault-tolerant Java/Spark code, design low-latency query capabilities, improve performance and stability, participate in technical reviews, and enable customers/internal teams to query and extract analytics from event data.

Lead design and implementation of large-scale graph UI features, collaborate with design, backend, and stakeholders, optimize Keylines visuals, mentor junior engineers, ensure integration with backend services, and drive projects through the SDLC for a next-gen cybersecurity UI.

The Engineering Manager will lead a Data Replay & Recovery Team to build a data replay application, improve service efficiency, and design a data platform for processing large datasets.

Build and scale cloud-native backend services for a global detection-engine platform. Design high-performance, resilient distributed systems, collaborate across teams, mentor engineers, and drive testing, CI, and AI-enhanced detection workflows at internet scale.

Build, operate, and scale CrowdStrike's global backbone and hybrid cloud networks. Design and implement IP and optical solutions, drive capacity planning, evaluate technologies, automate with IaC and CI/CD, support cloud networking, lead projects from ideation to implementation, and participate in 24x7 on-call rotation.

Design, implement, and operate discoverability and search features for the AISOAR marketplace. Lead end-to-end technical implementations, ensure high availability and security, troubleshoot platform issues, collaborate with customers and security partners, use observability tools, drive platform improvements, and participate in monthly on-call rotation.

Lead and grow an observability engineering team to design, build, and operate large-scale distributed tracing and metrics platforms. Drive architecture, design reviews, capacity planning, POCs, CI/CD and resilience practices, and collaborate across teams to enable a full DevOps model.