Engineering, Manager - Data Ingestion, NG-SIEM (Hybrid)

CrowdStrike
New York, NY, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Distributed Systems Security Information and Event Management Data Ingestion Apache Kafka Stream Processing

Job description

Experteer Overview In this role you lead a team building a petabyte-scale data ingestion platform within CrowdStrike’s NG-SIEM domain. You will drive cross-team collaboration to scale multi-region ingestion to hundreds of petabytes per day with sub-second latency. You’ll shape the group’s roadmap, operational excellence, and SLOs while delivering high-availability distributed systems. This is a mission-driven, AI-enabled environment where your leadership accelerates data-driven security outcomes for customers worldwide. Compensation / Benefits * Lead a team of engineers to solve distributed systems challenges focusing on availability, performance, and cost optimization for the ingestion platform * Own the team roadmap and quarterly OKRs to align with product and business goals * Establish and uphold operational excellence and SLOs across multi-region production systems * Engage with stakeholders (product management, customer success, support) to ensure alignment and impact * Set high standards for talent, accountability, and engineering discipline within the team * Communicate effectively with global teams and leaders; travel to collaborate with peers as needed Tasks * Experience architecting, designing, and delivering distributed systems in a large-scale cloud environment * 2+ years managing teams of 6+ engineers and delivering major milestones * Proven track record of operational excellence across multi-region services * Positive impact on customer experience and business outcomes * Experience applying AI technologies to improve decision-making and workflows * US Citizen or US Permanent Resident * Bonus: experience with stream processing, Kafka or similar technologies Key requirements * Market leader in compensation and equity awards * Comprehensive physical and mental wellness programs * Competitive vacation and holidays * Paid parental and adoption leaves * Professional development opportunities * Vibrant office culture with world class amenities

Requirements

  • standards for talent, accountability, and engineering discipline within the team * Communicate effectively with global teams and leaders; travel to collaborate with peers as needed Tasks * Experience architecting, designing, and delivering distributed systems in a large-scale cloud environment * 2+ years managing teams of 6+ engineers and delivering major milestones * Proven track record of operational excellence across multi-region services * Positive impact on customer experience and business outcomes * Experience applying AI technologies to improve decision-making and workflows * US Citizen or US Permanent Resident * Bonus: experience with stream processing, Kafka or similar technologies Key requirements * Market leader in compensation and equity awards * Comprehensive physical and mental wellness programs * Competitive vacation and holidays * Paid parental and adoption leaves * Professional development opportunities * Vibrant office culture with world class amenities

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

1:06 min

Ingesting streaming data securely with managed hubs

Eldert Grootenboer +1 · WWC 2023

2:06 min

The problem of over-engineering stream processing

Hartmut Armbruster Hartmut Armbruster · WWC Europe 2026

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

1:39 min

Defining Apache Kafka and its primary real-time use cases

Lucia Cerchie · LIVE

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Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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