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Senior Engineer – Data & ML Platform
CrowdStrikeJoin CrowdStrike as Sr. Engineer for Data & ML Platform, designing scalable ML pipelines.
Tech Stack
Tools & technologiesAirflowApacheCloudGoogle Cloud PlatformJavaKubernetesPythonRayScalaSparkTerraform
About the role
Key responsibilities & impact- 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
Requirements
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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata platform developmentPythonJavaScalaApache SparkFlinkKubernetesTerraformCI/CD
Soft Skills
analytical skillsproblem solvinginterpersonal skillscommunication skills