Data Engineer, CrowdStrike

ML Platform

$110-180k

+ Equity + Variable/incentive compensation

AWS

Docker

Kubernetes

Python

Kafka

Airflow

Spark

Overflow

Sagemaker

Spinnaker

Golang

Mid and Senior level

Remote from Canada, US

AI-native cybersecurity platform

Be an early applicant

AI-native cybersecurity platform

1001+ employees

B2BArtificial IntelligenceSecurityEnterpriseDeep TechSaaSCyber SecurityCloud Computing

Be an early applicant

$110-180k

+ Equity + Variable/incentive compensation

AWS

Docker

Kubernetes

Python

Kafka

Airflow

Spark

Overflow

Sagemaker

Spinnaker

Golang

Mid and Senior level

Remote from Canada, US

1001+ employees

B2BArtificial IntelligenceSecurityEnterpriseDeep TechSaaSCyber SecurityCloud Computing

Company mission

CrowdStrike is on a mission to stop breaches. Its purpose is to provide safety and security to some of the world’s largest, most influential companies and, by extension, the billions of people around the world who use their services.

Job

Company

Role

Who you are

BS degree in Computer Science or related field
3+ years of relevant work experience
Good knowledge of some (or all) of AWS, Python, Golang ,Kafka, Airflow, K8, etc to build pipelines
Have worked with large volumes of data in the past (We ingest and analyze over 1 Trillion events per day)
Good knowledge of distributed system design and associated tradeoffs
Good knowledge of CI/CD and associated best practices
Familiarity with Docker and or Kubernetes based development and orchestration

Desirable

Created automated / scalable infrastructure and pipelines for teams in the past
Contributed to the open-source community (GitHub, Stack Overflow, blogging)
Prior experience with Spinnaker, Relational DBs, or KV Stores
Prior experience with the Big Data ecosystem like Spark
Prior experience with services like AWS Batch, EMR, Glue, and SageMaker
Prior experience in the cybersecurity or intelligence fields

What the job involves

We are looking to hire a Data Engineer for the Data Engineering team at CrowdStrike.
The Data Engineering team operates within the Data Science organization, and provides the necessary pipelines, infrastructure, and automation for Data Scientist to train and evaluate models and allow users to analyze and act on vast quantities of data effortlessly.
The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry.
You will interact with product managers, Data Scientist, and other engineers in building both internal and external facing services
Work with a team to design and build services that power industry-leading machine learning products
Build automation tools for scientists to deploy models
Help maintain and improve production data systems
Work with peers on code reviews / PRs
Work across several teams responsible for different aspects of contribution to machine learning data at CrowdStrike

Application process

Expected Close Date of Job Posting is:09-01-2025

Our take

Since CrowdStrike was founded by a trio of former McAfee executives in 2011, it’s grown into a thousands-strong, NASDAQ-listed company. With customers including Verizon, Deloitte, and Goldman Sachs, it’s considered one of the world’s top enterprise cybersecurity vendors along with the likes of Cisco, IBM, and Palo Alto Networks.

One of the reasons behind CrowdStrike's continued success is its ability to keep pace with the evolving tech market, for instance with its Generative AI security analyst that leverages recent developments in AI. Although not immune to the slowdown of the global economy, the company's modular design has given it the upper hand, allowing clients to consolidate their security spend with CrowdStrike instead of selecting packages from multiple vendors at a higher overall cost.

With long-term demand for cybersecurity products growing, and its reputation as strong as ever, CrowdStrike shows no signs of slowing down. It has partnered with Ignition Technology to double down on its UK presence, and continues to be a voice in the wider market through its "Falcon Fund" investment vehicle and position as a founding member of NIST's Artificial Intelligence Safety Institute Consortium (AISIC).

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

20% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 6 rounds)

Jun 2018

$200m

SERIES E

Oct 2017

$25m

SERIES D

Total funding: $488.4m

Company benefits

Competitive Employee Stock Purchase Plan
Comprehensive Health Benefits
Parental & Fertility Assistance
Remote-first culture
Health & Wellness Programs
Professional Development
Executive Coaching & Mentorship
Offices with stocked kitchens when you need to fuel innovation and collaboration
Competitive vacation and flexible working arrangements
401(k) Plan 🇺🇸

Company HQ

Heritage District, Sunnyvale, CA

Leadership

George Kurtz

(President & CEO)

Founded security software company Foundstone in 1999, operating as CEO until McAfee's $90m acquisition in 2004. Spent the next seven years at McAfee in a number of executive roles including SVP of Enterprise and CTO.

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