Senior Distributed Systems Engineer - NG-SIEM (Remote AU)

CrowdStrike Inc.

Australia

Remote

AUD 180,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly team

Career development

Generous time off

Wellness programs

Employee networks

Job summary

CrowdStrike Inc. Australia offers a remote-friendly engineering role focused on building and scaling the LogScale data platform.

You will design distributed systems, optimize multi-tenant performance, and drive data-driven decisions across ingestion, storage, and queries for a security-focused, AI-native platform. Ideal candidates have hands-on experience with Golang or Scala, cloud environments (AWS/Azure/GCP), and Kafka, plus a proven ability to deliver impact across complex systems and

Qualifications

5+ years of experience designing, implementing, and maintaining multiple software products/systems.
Current hands-on experience as an engineer owning a distributed system that handled tens of billions of requests per day or more than 1 PB of data per day.
History of significant and continued impact on customer experience and business results.
Demonstrated track record of operational excellence when operating services that span many components across several geographical regions.
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Ability to communicate and articulate crisply
A can-do attitude — you thrive collaborating in a team and are not afraid of taking on responsibilities;

Responsibilities

Intelligent Customer Placement — Decide which part of the fleet each customer lands on, bin packing tenants efficiently while reserving enough headroom so everyone gets the capacity they're entitled to.
Autobalancing — Continuously rebalance customers across shared infrastructure as load shifts, protecting each customer's performance while keeping the fleet healthy.
Autoscaling — Automatically add or remove capacity as demand changes, so the fleet grows and shrinks with real usage instead of being manually provisioned.
Data-Driven Decisions — Use real-time per-tenant usage (e.g., memory, storage, throughput, query cost) to drive placement and balancing.
End-to-End System Depth — Go deep into the underlying data platform (how data is ingested, stored, cached, and queried) to understand why a placement or scaling decision helps or hurts, and feed that back into the models.
Operational Rigor — Operate what you build, and treat customer-impacting incidents with the same rigor as feature work; reliability and static stability are forcing functions for design, not a phase bolted on after launch.
Feature Delivery — Deliver key parts of our systems as an individual contributor while leading the team to solve ambiguous problems, and move the scalability of our LogScale engine to the next level.
Technical Strategy & Alignment — Engage with other technical leads and principal engineers to keep our technical strategy coherent across the LogScale platform and move our product mission forward.
Communication — As a remote-first company, bring excellent verbal and written communication skills when working with teams across the globe.