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CrowdStrike

Sr. Software Engineer - Data Query Platform - London (Hybrid)

London
Posted 1 day ago
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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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers 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 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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 utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
  • 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-MZ1

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

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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 recruiting@crowdstrike.com for further assistance.

CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware-based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware.

There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches.

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Skills

Java
Apache Spark
Scala
Kotlin
Kubernetes
AWS
Flink
Distributed Systems
SQL
NoSQL
TDD
Linux Administration
Data Pipeline Design
Algorithm Design
Cloud Development
Data Platform Engineering

Location

London, England, United Kingdom

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