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CrowdStrike is seeking an engineer for the LogScale Search team to deliver federated search features at scale, enabling customers to join data across their own stores (e.g., AWS Athena) with LogScale.
You will work on hard engineering problems, write automated tests, and collaborate across distributed teams to build a fast, reliable log storage solution.
Teams have autonomy from ideation to deployment, with a strong focus on product quality and customer impact.
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.
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. As a new Engineer on the LogScale Search team you will be responsible for delivering this scale to customers by developing new features as well as improving existing functionality. You will be part of a new team that will be building and scaling Federated Search in LogScale that will enable customers to combine their data within LogScale to data that they have in their own data stores (like AWS Athena). You will be part of 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, and drive high-impact projects to completion. You will drive the company’s vision of a fast, reliable and best-in-class log storage solution.
Teams in LogScale have a great amount of autonomy, and own a part of the LogScale 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