#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:
The data engineering team is on a mission to create a hyper scale data lake, which helps finding bad actors and stop breaches. The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems.
Your primary focus will be owning our new graph database, which you will have a significant hand in building.
What You'll Do: Design, develop, and maintain a data platform that processes petabytes of data Participate in technical reviews of our products and help us develop new features and enhance stability Continually help us improve the efficiency of our services so that we can delight our customers Help us research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire What You'll Need: 5+ years or MS degree with 3+ years in a backend or data engineering position. Proven expertise with algorithms, distributed systems design and the software development lifecycle At least a year of development experience with Java, Scala or Kotlin. Experience building large scale data/event pipelines Strong familiarity with the Apache Hadoop ecosystem (Spark, Kafka, Hive, Apache Presto, etc.) Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDB Good test driven development discipline Reasonable proficiency with Linux administration tools Proven ability to work effectively with remote teams
Experience with the Following is Desirable: Go Pinor or other time-series/OLAP-style database Kubernetes Jenkins Parquet Protocol Buffers/GRPC#LI-DG1
#LI-LY1
#LI-Remote
#HTF
Benefits of Working at CrowdStrike: Remote-first culture Market leader in compensation and equity awards Competitive vacation and flexible working arrangements Comprehensive and inclusive health benefits Physical and mental wellness programs Paid parental leave, including adoption A variety of professional development and mentorship opportunities Offices with stocked kitchens when you need to fuel innovation and collaborationWe are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected] for further assistance.