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Software Engineer III, Cloud - Falcon Asset Manager Platform; Hybrid

Job in Sunnyvale, Santa Clara County, California, 94085, USA
Listing for: CrowdStrike
Full Time position
Listed on 2026-10-19
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Software Engineer, DevOps
Job Description & How to Apply Below
Position: Software Engineer III, Cloud - Falcon Asset Manager Platform (Hybrid)
As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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. Crowd Strikers 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 Crowd Strikers 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 Crowd Strike  is seeking a Cloud Engineer III to join our Asset Management Engineering team. This team is dedicated to delivering top-tier experiences to our customers by providing centralized visibility into their asset and application usage. We offer application inventory solutions that provide insights and management capabilities for the applications running on assets, ultimately securing the digital perimeter and preventing breaches.

As a member of this team, you will help build a pipeline that ingests billions of events a day, and aggregate this data into a unified application inventory.  You will own a significant portion of the stack and collaborate closely with Cloud Engineers, UI Engineers, Product teams, and other stakeholders to build and enhance our Asset Management solutions.

What You’ll DoDesign and build backend microservices in Golang that process data across multiple pipelines

Own a meaningful portion of the application inventory stack end to end, from data ingestion through enrichment, storage, and API layers

Collaborate across Cloud, UI, and Product teams to translate open-ended problems into scoped, shippable increments

Maintain and improve services with a strong focus on quality through testing, logging, and metrics

Set the technical bar on observability, reliability, and code quality, and actively contribute to growing the engineers around youTake full ownership of your work in a high-trust, autonomous environment

Understand business and engineering requirements so that you can be proactive in sharing ideas and solutions

Launch and support features that will be used by millions of users around the world

What You’ll Need5+ years (Avg YoE: 6-10 yrs) of overall software engineering experience3+ years in Golang, Kafka, Cassandra, or similar

Deep understanding of distributed systems concepts including queues, concurrency, sharding, and partitioning

Experience with microservice architectures, multi-region deployments, and observability and reliability engineering

Strong debugging skills across the full stack in complex, high-traffic production environmentsA thorough understanding of engineering best practices including testing paradigms, peer code review, and resilient architecture design

Proven ability to integrate AI into daily workflows to improve efficiency and outcomes

Understanding of AI capabilities, limitations, and responsible usage practices

Multiple years of experience debugging complex…
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