Sr. Software Engineer, Data Query Platform (Hybrid)

CrowdStrike, Inc.Full timeR25748As 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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.About the Role:The data engineering team is on a mission to create a hyper scale data lake, which helps find 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 a senior 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 toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.Your primary focus will be owning our new graph database, which you will have a significant hand in building.This role can be based out of Sunnyvale/Silicon Valley Metro, Redmond/Seattle Metro, Austin Metro or New York City Metro and will likely include 1-3 days in-office per week on average (NYC and Austin office are in development and/or expanding, so workers here will remain fully remote for likely 18-24 months)What You'll Do:- Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related analytics- Design, develop, and maintain ultra-high-scale data platforms that process 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 and reduce latency of our high-performance services to delight our customers- 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 desireWhat You'll Need:10+ years' experience combined between backend/cloud development and data platform engineering roles5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP5+ years of experience programming with Java, Scala or Kotlin.Proven experience owning robust feature/product design end to end, yourself, especially with vaguely defined problem statements or only 'loose' specs leading the way.Proven expertise with algorithms, distributed systems design and the software development lifecycleExperience building large scale data/event pipelinesExpertise designing solutions with relational SQL and NoSQL databases, including Postgres/MySQL, Cas

Created: 2026-01-26