Sr. Software Engineer, Cloud - Analytics Platform

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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. Crowd Strikers 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 Crowd Strikers 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.

The data engineering team owns and scales a hyper scale data lake, graphdb, time-series db and more which help 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.

This role will be based out of any of:
Manhattan Mid-town;
Redmond, WA, Sunnyvale, CA;
Austin, TX, and will likely include 2-3 days in-office per week on average.

• Write highly fault-tolerant Java code within Apache Spark, Flink and custom OLAP, Time Series and Open Table DBs 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 desire

• BS in technical field (CS, IT, Computer Engineering...)
  OR commensurate (4+ years) experience
• 10(+) years' experience combined between backend/cloud development and data platform engineering roles
• 5+ years of experience building either data platform product(s) or features with (one of) Apache Spark, Flink or Ray, ‘OR’ building any at-scale custom implementation of cloud-based Time Series, OLAP or Open Table format DB such as Pinot, Clickhouse, Druid or Iceberg
• 5+ years of experience programming with Java, Scala or Kotlin (python okay as an alternative provided experience with the above)
• In-depth knowledge of performance tuning either of any JVM (Java, Kotlin, Scala) language or of relevant Apache Systems (Spark, Flink, Ray, Pinot, Druid, Iceberg…)
• 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 lifecycle
• Experience building large scale data/event pipelines
• Expertise designing solutions with relational SQL and No
  
  SQL databases,…