Sr. Engineer
2 weeks ago
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 charter of the Data ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration insights model development ML Engineering and Insights Activation This team is situated within the larger Data Platform group which serves as one of the core pillars of our company We process data at a truly immense scale Our processing is composed of various facets including threat events collected via telemetry data associated metadata along with IT asset information contextual information about threat exposure based on additional processing etc These facets comprise the overall data platform which is currently over 200 PB and maintained in a hyper scale Data Lakehouse built and owned by the Data Platform team The ingestion mechanisms include both batch and near real-time streams that form the core Threat Analytics Platform used for insights threat hunting incident investigations and more As an engineer in this team you will play an integral role as we build out our ML Experimentation Platform from the ground up You will collaborate closely with Data Platform Software Engineers Data Scientists Threat Analysts to design implement and maintain scalable ML pipelines that will be used for Data Preparation Cataloging Feature Engineering Model Training and Model Serving that influence critical business decisions You ll be a key contributor in a production-focused culture that bridges the gap between model development and operational success Future plans include generative AI investments for use cases such as modeling attack paths for IT assets What You ll Do Help design build and facilitate adoption of a modern Data ML platform Modularize complex ML 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 ML experimentation pipelines Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines Review code changes from data scientists and champion software development best practices Leverage cloud services like Kubernetes blob storage and queues in our cloud first environment What You ll Need B S in Computer Science Data Science Statistics Applied Mathematics or a related field and 10 years related experience or M S with 8 years of experience or Ph D with 6 years of experience 3 years experience developing and deploying machine learning solutions to production Familiarity with typical machine learning algorithms from an engineering perspective how they are built and used not necessarily the theory familiarity with supervised unsupervised approaches how why and when and labeled data is created and used 3 years experience with ML Platform tools like Jupyter Notebooks NVidia Workbench MLFlow Ray Vertex AI etc Experience building data platform product s or features with one of Apache Spark Flink or comparable tools in GCP Experience with Iceberg is highly desirable Proficiency in distributed computing and orchestration technologies Kubernetes Airflow etc Production experience with infrastructure-as-code tools such as Terraform FluxCD Expert level experience with Python Java Scala exposure is recommended Ability to write Python interfaces to provide standardized and simplified interfaces for data scientists to utilize internal Crowdstrike tools Expert level experience with CI CD frameworks such as GitHub Actions Expert level experience with containerization frameworks Strong analytical and problem solving skills capable of working in a dynamic environment Exceptional interpersonal and communication skills Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes Critical Skills Needed for Role Distributed Systems Knowledge Data Platform Experience Machine Learning concepts Experience with the Following is Desirable Go Iceberg Pinot or other time-series OLAP-style database Jenkins Parquet Protocol Buffers GRPC LI-DP1 LI-VJ1 Benefits of Working at CrowdStrike Remote-friendly and flexible work culture 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 TM 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 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