Software Engineer III, Data Platform – Query Platforms (Remote)

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#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:

Our Data Platform group at Crowdstrike is unique among its kind for being uncommonly customer-focused. In line with classic Data Platform groups, we build and operate systems to centralize all of the data from Falcon Sensors and 3rd Party sources derived from trillions of events/day. We also drive industry-leading innovation on a hyper scale security data lake that helps find bad actors and stop breaches.

As an E6 Engineer on the team – what would commonly be called “Senior Engineer” at most companies, SDE3 at Crowdstrike – you will contribute to the full spectrum of our systems, from foundational processing and data storage to scalable pipelines, frameworks, tools and applications that make that data available to other teams and systems.

One of your core responsibilities will be building and maintaining Self-service Data Platforms based upon Spark as the runtime, making it easy for customers to transform and access our data for analytics, machine learning, and threat hunting. Ultimately, you’re empowering them to predictively build (among other things) automations that defend against such threats ‘before’ they appear in their own environments.

Another key value add for you will be contributions to a new graph database, which you will have a significant hand in building out.

Your primary toolset in your work will be Java/Spark, Kubernetes and AWS native tooling.

What You’ll Do: 

  • Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our data 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

What You’ll Need: 

  • 6+ years’ experience combined between backend and data platform engineering roles
  • 4+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP
  • 3+ 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 lifecycle
  • Experience building large scale data/event pipelines
  • Expertise designing solutions 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
  • Pinot or other time-series/OLAP-style database
  • Iceberg
  • Kubernetes
  • Jenkins
  • Parquet
  • Protocol Buffers/GRPC

#LI-DG1

#LI-MP1

#LI-Remote

#HTF

#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

CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Find out more about your rights as an applicant.

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 $115,000 – $180,000 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.

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