Software Engineer III - Data Ingestion and Onboarding, NG-SIEM (Hybrid)
CrowdStrikeUSA - New York, NY$120k – $180kPosted 7 April 2026
Job Description
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:
As our new Software Engineer III you’ll be part of the GDI (Getting Data In) group under NG-SIEM with a focus on data ingestion at petabyte-scale. The group focuses on the data ingestion and onboarding experience for NG-SIEM customers, ingesting several petabytes of data per day across multiple regions from 100 1st party and 3rd party data sources.
As a member of the team, you will focus on a broad area of the product including ingest pipeline, data enrichment, alerting and real-time searches. You will have a chance to work on large-scale distributed systems. You will also be working on a various set of larger projects, which require you to collaborate cross-team with frontend engineers, UX designers and product managers.
Teams in NG-SIEM have a great amount of autonomy, and own a part of the NG-SIEM experience, from ideation and development to deployment and feedback. This includes ensuring high quality of the features they deliver, by writing automated tests, and performing manual tests.
This role is hybrid, on-site in NYC. Candidate should be comfortable visiting the office twice a week once the development center is established.
What You'll Do:
Work on enabling petabyte-scale data ingestion at millions of events per second at sub-second latencies
Solve hard problems in distributed systems, including high availability, reliability, performance and cost optimizations
Develop systems in Scala & Go
Support globally available, multi-region systems in production
Lead and participate in cross-team platform-level initiatives and projects
Work in a team of friendly, trustworthy and knowledgeable colleagues
Do best practices in software development; code review, automated tests, agile development, retrospective, incremental improvements and continuous deployment
Troubleshoot critical production issues
Participate in scoping, designing and developing of new features
Continuous improvement of internal tools and processes
Strong communication skills; working collaboratively and confidently with internal stakeholders.
Strong experience in completing tasks for multiple projects simultaneously.
What You'll Need:
U.S. citizen or Permanent Resident and work solely from U.S. soil
A MSC in Computer Science, IT engineering or equivalent experience
Fluency in at least one programming language, preferably one running on the JVM
Can-do attitude, and that you thrive collaborating in a team and are not afraid of taking on responsibilities
4 years of Backend Engineer experience
Bonus Points:
Experience programming in Scala and/or Go
Experience with commercial clouds (AWS, Azure, GCP)
Experience with Kafka
Strong debugging skills
Experience developing complex software applications
Hands on experience in large-scale (distributed) system architecture, high scalability and availability, and optimization
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This role will require the candidate to periodically undergo and pass additional background and fingerprint ... (truncated, view full listing at source)
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