Software Engineer Iii, Cloud - Data Experience, Ng-siem

CrowdStrike CrowdStrike · Enterprise · Aarhus, Denmark

Software Engineer III role focused on third-party data onboarding and parser management for NG-SIEM. The role involves developing AI-powered parsers, automated data quality monitoring, and intelligent data enrichment to create a seamless data onboarding experience. It also includes leveraging AI to build autonomous agents for data onboarding and leading key product initiatives.

What you'd actually do

  1. Work on enabling data onboarding and parsing at petabyte scale, processing millions of events per second with sub-second latencies and high parsing accuracy.
  2. Work as part of a cross-functional team including UI, UX and Data Scientists
  3. Solve hard problems in distributed systems, including high availability, reliability, performance and cost optimizations
  4. Develop systems in Go & Scala
  5. Support globally available, multi-region systems in production
  6. Lead and participate in cross-team platform-level initiatives around data normalization standards, parser automation, and AI-driven data quality.
  7. On-call rotation.

Skills

Required

  • 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 experience in completing tasks for multiple projects simultaneously.

Nice to have

  • Golang
  • agentic AI projects
  • Commercial clouds (GCP, AWS or Azure)
  • Cybersecurity

What the JD emphasized

  • AI-powered parser development
  • autonomous agents
  • AI-driven data quality
  • petabyte scale
  • sub-second latencies
  • high parsing accuracy
  • high availability
  • reliability
  • performance
  • cost optimizations
  • globally available
  • multi-region systems
  • parser automation

Other signals

  • AI-powered parser development
  • autonomous agents that facilitate seamless data onboarding
  • AI-driven data quality