Sr. Engineer - Falcon NG-SIEM, Serverless Cell Platform

CrowdStrike Inc.; Australia; Remote; AUD 140,000 - 190,000; Full time

Job summary

CrowdStrike Inc. is seeking an experienced engineer for a fully remote role based in Australia.

The role focuses on large-scale distributed systems, intelligent placement, autobalancing, and autoscaling to deliver high performance with efficient resource use. Ideal candidates will have 5+ years building and maintaining software in a SaaS environment, with hands-on experience managing systems that process billions of requests daily and store vast data.

Qualifications

• 5+ years designing, implementing, and maintaining multiple software systems across SaaS environments.
• Hands-on experience as an engineer in distributed systems handling large-scale data and traffic.
• Proven impact on customer experience and business results.
• Experience leveraging AI to improve decision-making and efficiency.
• Excellent communication in a remote, global team.

Responsibilities

• Decide how customers land on fleet segments and optimize resource allocation.
• Continuously rebalance customers across shared infrastructure to maintain performance.
• Manage autoscaling to adapt capacity with real usage.
• Use real-time per-tenant metrics to drive placement and balance decisions.
• Dive into the data platform to understand ingestion, storage, and query behavior.
• Contribute to reliability, incident response, and feature delivery for LogScale.

Skills

Distributed systems

Autobalancing

Autoscaling

Data-driven decisions

Operational rigor

Technical strategy

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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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:

Our mission is to make all of our customers' security-relevant data continuously available for automated detection and response, threat hunting, and other Falcon use cases. To enable this, the systems behind NG-SIEM are growing to accommodate >100 PB of event and action data ingested every day, up to 10 years of retention, and dozens of millions of queries per hour across large sections of the data stored. Ideal candidate for this role has expertise in large-scale distributed/control systems (intelligent placement, autobalancing, autoscaling) and the ability to go deep into the underlying data platform (Logscale) - ingestion, storage, and query internals - to connect scaling decisions to real system behavior in a large multi-tenant environment. We run a multi-tenant platform where many customers share a common pool of infrastructure. The core challenge is a two-sided optimization: deliver the best performance for every customer while achieving the best overall resource utilization (minimal wasted capacity, maximum density). This role is based in Australia and is fully remote. Many team members are located in Sydney.

What You'll Do:

• 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.

What You'll Need:

5+ 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, and across multiple software stacks; Current hands-on experience as an engineer (3+ years) 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