Sr. Software Engineer, Cloud (hybrid, London)

CrowdStrike CrowdStrike · Enterprise · London, United Kingdom

Senior Software Engineer role focused on building and scaling CrowdStrike's AI-native Falcon Next-Gen SIEM platform. The role involves designing, architecting, and developing Go-based microservices for threat detection, case management, and incident response workflows, with a strong emphasis on AI-powered capabilities like LLM integration and agentic workflows. The position requires end-to-end ownership of technical initiatives and mentoring junior engineers.

What you'd actually do

  1. Own the engineering bar. Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last – not just for today's scale, but for what's next
  2. Lead system design and architecture decisions, including design reviews and RFC processes
  3. Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities
  4. Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity
  5. Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions

Skills

Required

  • 8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in production
  • Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts
  • Proficiency building and scaling resilient, low-latency services in production using Go, Python, Java, C++, or C#
  • Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP
  • Strong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindset
  • Proven ability to translate complex and ambiguous business requirements into technical solutions and deliver projects on schedule

Nice to have

  • Go experience is preferred
  • Currently developing Go-based microservices for scalable, high-throughput architectures
  • Experience in cybersecurity, SIEM, SOAR, or adjacent security domains
  • Hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks

What the JD emphasized

  • AI-native platform
  • AI/ML-powered insights
  • agentic analyst workflows
  • LLM integration
  • agentic workflows

Other signals

  • AI-native platform
  • AI/ML-powered insights
  • LLM integration
  • agentic workflows