About the role
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to
the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About
the Role: Does building systems that help security analysts close a critical incident before it becomes a breach excite you? Does correlating and analyzing data at trillions-of-events-per-day scale sound like the kind of challenge you want to wake up to? Do you care deeply about cybersecurity and want to play an active role in helping organizations defend themselves from sophisticated cyberattacks? We'd love to meet you. We are seeking a Senior Cloud Software Engineer to join our Threat Detection and Incident Response (TDIR) team, helping revolutionize security management with our AI-native Falcon Next-Gen SIEM platform – enabling customers to detect, investigate, and hunt down threats 150x faster at Petabyte scale. You'll design, architect, and develop world-class case management and investigation capabilities in Go, empowering security analysts to be more effective at incident response, threat hunting, and collaborative investigations. You'll build intelligent workflows that connect detections, evidence, and response actions into cohesive cases. Leveraging advanced correlation, contextual enrichment, and AI/ML-powered insights, you'll help security teams work smarter through intelligent threat prioritization, automated investigation suggestions, and agentic analyst workflows – helping them respond faster to emerging threats. While Go experience is preferred, strong backend engineers from other languages who can demonstrate rapid adaptability and a track record of delivering at scale are welcome to apply. If this is the kind of scale and impact you're looking for, we'd love to hear from you. What You’ll do: 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 Lead system design and architecture decisions, including design reviews and RFC processes Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions Mentor junior and mid-level engineers through pair programming, code reviews, and one-on-one knowledge sharing Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling Participate in the on-call rotation and drive improvements that reduce your teams toil and increase system reliability Operate with a high degree of autonomy – you'll be trusted to make decisions and drive outcomes What You’ll Need: A collaborative team player who lifts those around them (We believe in: One team. One fight!) 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
