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CrowdStrike

Engineer III – Data Platform

CrowdStrike

. Design and implement enterprise-scale ML infrastructure .

Posted 5/22/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies
AirflowCloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact
  • Design and implement enterprise-scale ML infrastructure
  • Architect high-performance model serving solutions handling millions of predictions per second
  • Build robust, scalable systems for model training, serving and inferencing
  • Lead technical decisions for critical ML platform components
  • Develop automated ML pipelines using “State of art” tools
  • Implement sophisticated monitoring and observability solutions
  • Optimize resource utilization across large scale distributed computing environments
  • Design fault-tolerant, highly available ML systems using Airflow or MLflow, HPC (SLURM)/ GPU

Requirements

What you’ll need
  • 10+ years of software engineering experience with distributed systems
  • 4+ years of hands-on experience building ML platforms
  • Proven experience with Kubernetes, containerization, and cloud platforms
  • Strong background in performance optimization and scalability
  • Experience with Jupyter Hub, MLflow, or similar ML platforms

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

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdistributed systemsperformance optimizationscalabilityautomated ML pipelinesmodel trainingmodel servingmodel inferencingmonitoring solutionsobservability solutions
Soft Skills
leadershiptechnical decision-making