Sr. Software Engineer - Engine Team, LogScale (Mountain, Central or East Coast Remote)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We work on large scale distributed systems, processing over 1 trillion events a day with a petabyte of RAM deployed in our Cassandra clusters - and this traffic is growing daily. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to developing and shaping our cybersecurity platform. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:

As our new senior software engineer in CrowdStrike, you’ll contribute to the LogScale application for observability, log management, and security events. As a member of the new US based engine team you will focus on the LogScale engine that makes LogScale 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 LogScale engine, and will have a broad understanding of the entire LogScale architecture.

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 production, with LogScale dashboards of course.

An important part of our work is making sure that LogScale 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 …