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CrowdStrike

Sr. Software Engineer - Data Query Platform (GBR, Hybrid)

Reposted 2 Hours Ago
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Hybrid
London, Greater London, England
Senior level
Hybrid
London, Greater London, England
Senior level
Join CrowdStrike's data engineering team to build a hyper-scale data lake for cybersecurity, using Java and Spark to develop data platforms and pipelines.
The summary above was generated by AI

As 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 Software 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.

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 desire

What You'll Need:

  • 10+ years' experience combined between backend/cloud development and data platform engineering roles

  • 5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP

  • 5+ 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-GO1

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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 [email protected] for further assistance.

Top Skills

AWS
Cassandra
DynamoDB
Flink
Go
Grpc
Iceberg
Java
Jenkins
Kubernetes
Linux
MySQL
NoSQL
Parquet
Pinot
Postgres
Protocol Buffers
Scala
Spark
SQL

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