Senior NG-SIEM Distributed Systems Engineer (Remote)

CrowdStrike Australia Pty Limited; Sydney; Remote; AUD 180,000 - 240,000; Full time

Job summary

CrowdStrike Inc. is seeking a senior software engineer for the NG-SIEM data platform, focused on large-scale distributed systems, intelligent placement, autobalancing, and autoscaling.

The role involves deep dives into the LogScale data platform to connect scaling decisions with real system behavior in a multi-tenant environment. You will work with international teams in a remote-first setup, contributing to high-impact security data processing.

Qualifications

• 5+ years of experience designing, implementing, and maintaining multiple software products/systems/releases across SaaS stacks.
• Hands-on experience as an engineer owning a distributed system handling tens of billions of requests per day or >1 PB of data per day.
• Proven track record of operational excellence across multi-region services.

Responsibilities

• Decide placement of customers on the fleet and optimize resource utilization.
• Continuously rebalance customers across shared infrastructure as load shifts.
• Auto-scale capacity with demand and monitor real-time per-tenant usage to drive decisions.
• Deep-dive into data platform internals (ingestion, storage, queries) to improve performance.
• Collaborate with technical leads to align LogScale platform strategy and product mission.
• Communicate effectively in a remote-first team and contribute to reliable, scalable systems.

Skills

Distributed systems

SaaS

AI usage

Communication

Team collaboration

Operational excellence

Tools

Golang

Scala

Kafka

AWS

Azure

GCP

Job description

CrowdStrike Inc. is seeking a senior software engineer for the NG-SIEM data platform, focused on large-scale distributed systems, intelligent placement, autobalancing, and autoscaling.

The role involves deep dives into the LogScale data platform to connect scaling decisions with real system behavior in a multi-tenant environment. You will work with international teams in a remote-first setup, contributing to high-impact security data processing.