Software Engineer III, Cloud - Data Experience, NG-SIEM

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: We are seeking an Engineer III to join the GDI Data Experience Team under NG-SIEM, with a focus on third-party data onboarding and parser management. The team is responsible for delivering a seamless data onboarding experience for NG-SIEM customers through AI-powered parser development and management, automated data quality monitoring, intelligent data enrichment, and proactive alerting. NGSIEM is ingesting several petabytes of data per day across multiple regions from 100+ 1st party and 300+ 3rd party data sources. Data Onboarding is the first critical step for a customer’s journey into NG-SIEM and data volume directly correlates with our ability to detect and hunt threats effectively. Our platform is growing to include all 1st and 3rd party data-sources and needs to scale to support unlimited data ingestion and enable customers to ingest all data. You will be driving our vision to achieve a frictionless onboarding experience across hundreds of different data sources, including leveraging AI to build autonomous agents that facilitate seamless data onboarding for our customers. You will be leading key product initiatives that will require you to collaborate cross-team with other data platforms and product teams at CrowdStrike. This role is open to candidates located within commuting distance of Aarhus, Denmark only. What You'll Do: Work on enabling data onboarding and parsing at petabyte scale, processing millions of events per second with sub-second latencies and high parsing accuracy. Work as part of a cross-functional team including UI, UX and Data Scientists Solve hard problems in distributed systems, including high availability, reliability, performance and cost optimizations Develop systems in Go & Scala Support globally available, multi-region systems in production Lead and participate in cross-team platform-level initiatives around data normalization standards, parser automation, and AI-driven data quality. On-call rotation. What You'll Need: Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience. 4-7 years of experience designing, implementing, and maintaining multiple software products/systems/releases, preferably in a SaaS delivery model, across all phases of the development lifecycle. Fluency in at least one programming language. Experience in large-scale (distributed) system architecture, high scalability and availability, and optimization Can-do attitude, and that you thrive collaborating in a team and are not afraid of taking on responsibilities, demonstrated a track record of operational excellence when operating services that span many components across several geographical regions. Product focus mindset and strong ownership based on the mindset “you built it, you own it” Experience with streaming systems like Apache Kafka, transactional databases, Docker and Kubernetes. Strong communication skills; working collaboratively and confidently with internal stakeholders. Strong experie ... (truncated, view full listing at source)