#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 You will be a Principal Engineer within Data Platform, both leading/guiding design and development as well as contributing in a quite hands-on capacity with Spark/Flink data processing and Java/Scala microservices development, owning much of the launch of a new platform which is driving industry-leading innovation on a hyper scale security data lake that helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data from Falcon Sensors and 3rd Party sources – derived from trillions of events/day – making it easy for all customers to utilize the platform for batch and streaming analytics, machine learning and threat hunting. As an especially senior member of the engineering team, you will contribute to the full spectrum of our systems, from query processing, building scalable pipelines using different frameworks for ingestion, materialized views, transformation, data storage, as well as tools and applications to make data available to thousands of users and hundreds of internal systems. What You’ll Do Shape the vision of our Analytics Data Platform for its next phase of growth: building a Unified Data Catalog as well as Query Analysis for structured data stored in different forms (columnar vs graph), and building and optimizing query performance using different techniques of indexing and data partitioning. Familiarity with various big data frameworks is required for this role. 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, evolve 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 BS and 12+ years in a related field, or MS and 10+ years in Computer Science or related field. 10+ years of Experience in production building distributed services-oriented backend architecture 3+ years of experience building Spark- or Flink-based data platform products Strong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Hive/Apache Iceberg/Delta Lake, Apache Presto/Trino, Apache Pinot, etc. 3+ years coding in Java, Scala, Kotlin or another JVM language. Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc. Proven expertise with multiple big data frameworks, especially handling data volume at multi-petabyte scale. Proven expertise with algorithms, distributed systems design and the software development lifecycle Experience with Apache Flink or other streaming systems is a plus Familiarity with Go, Kubernetes is a plus Good test driven development discipline Reasonable proficiency with Linux administration tools Proven ability to work effectively with remote teams #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 collaboration We 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 for further assistance. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $190,000 – $290,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. CrowdStrike Canada ULC is committed to fair and equitable compensation practices. The base salary range for this position in Canada is $180,000 – $300,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Expected Close Date of Job Posting is:04-15-2024 #J-18808-Ljbffr
PostgreSQL Go apache-flink apache-pinot Apache Iceberg Scala Apache Spark Principal Software Engineer Apache Kafka delta-lake Linux Apache Hive remote work amazon-dynamodb SQL Kubernetes Java Cassandra NoSQL trino Hadoop MySQL