Cybersecurity Data Engineer

3 weeks ago


Mumbai, Maharashtra, India CrowdStrike Full time

At CrowdStrike, we are changing the game in cybersecurity. As a global leader, our mission is to stop breaches. Our cloud-native platform offers unparalleled protection against sophisticated cyberattacks. We seek individuals with limitless passion, a focus on innovation, and a commitment to customer satisfaction to join us in shaping the future of cybersecurity.

About Us

We are consistently recognized as a top workplace, committed to fostering an inclusive and remote-first culture that balances work-life needs while driving career growth. Join us on a mission that matters - one team, one fight.

The Role

This position plays a crucial role in building our ML Experimentation Platform from scratch. You will collaborate closely with data engineers, scientists, and threat analysts to design, implement, and maintain scalable machine learning pipelines for data preparation, cataloging, feature engineering, model training, and serving. Your expertise will bridge the gap between model development and operational success.

Responsibilities
  • Help design, build, and facilitate adoption of a modern data and machine learning platform
  • Modularize complex machine learning code into standardized and repeatable components
  • Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring
  • Build a platform that scales to thousands of users and offers self-service capability to build machine learning experimentation pipelines
  • Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and machine learning pipelines
Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related field and 7+ years relevant experience; or Master's with 5+ years experience; or Ph.D. with 6+ years experience. Additionally, you should have:

  • 3+ years developing and deploying machine learning solutions to production
  • Familiarity with typical machine learning algorithms from an engineering perspective
  • Familiarity with supervised and unsupervised approaches
  • Experience with ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI, etc.
  • Experience building data platform products or features with Apache Spark, Flink, or comparable tools in GCP
  • Expert-level experience with Python, Java/Scala exposure recommended
  • Strong analytical and problem-solving skills, capable of working in a dynamic environment
  • Exceptional interpersonal and communication skills
What You'll Get

As a valued member of our team, you can expect competitive compensation and equity awards, a market-leading salary ($145,000 per year), and participation in ESPP in eligible countries. Enjoy flexible working arrangements, physical and mental wellness programs, paid parental leave, professional development opportunities, access to CrowdStrike University, and more.



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