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Software Engineer II - Engine Team, LogScale; Hybrid

Job in Austin, Travis County, Texas, 78716, USA
Listing for: CrowdStrike Holdings, Inc.
Full Time, Part Time position
Listed on 2026-10-21
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 145000 USD Yearly USD 100000.00 145000.00 YEAR
Job Description & How to Apply Below

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:

As our new software engineer in Crowd Strike, you’ll contribute to the Log Scale application for observability, log management, and security events. As a member of the new US based engine team you will focus on the Log Scale engine that makes Log Scale scale by developing new features as well as improving existing functionality. This is a highly distributed system that ingests Petabytes of data per day through both our SaaS and On Premise offerings.

You will be joining a distributed team of highly collaborative engineers who share a strong passion for the product. In this role you will get a chance to work on hard engineering problems that do not have well-defined solutions. You will become one of the go-to experts of the Log Scale engine, and will have a broad understanding of the entire Log Scale architecture.

Teams in Log Scale have a great amount of autonomy, and own a part of the Log Scale experience, from ideation and development to deployment and feedback. This includes ensuring high quality of the features they deliver, by writing automated tests, and performing manual tests. Moreover, we do not just throw over features to our operations teams, but we constantly observe and monitor new features in production, with Log Scale dashboards of course.

An important part of our work is making sure that Log Scale continues to be scalable in terms of efficiently ingesting and digesting events, querying for the right data, while also ensuring the stability of the clusters. Some of the critical elements that the team is working on improving is the query execution engine that makes the Log Scale queries be lightning fast.

The team is also working with our internal “global” data storage using Kafka and the storage engine that ensures data is stored in the right number of replicas as well as on the correct nodes and in bucket storage such as S3. You will be playing a crucial role in ensuring that Log Scale can continue with its successful durability and high availability.

This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

What You’ll Do:
  • Work in a team of friendly, trustworthy and knowledgeable colleagues
  • Work on cross-team platform-level initiatives and projects
  • Participate in scoping, designing and developing of new features and lead delivery of solutions to open-ended problems
  • Contribute to moving the scalability of our Log Scale engine to the next level
  • Develop the Log…
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