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Engineer III - Machine Learning Platform

Global leader in cybersecurity protecting organizations through advanced AI-native platform, processing 3 trillion events daily.
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI · Cybersecurity

Description For Engineer III - Machine Learning Platform

CrowdStrike, a leading cybersecurity company, is seeking a Senior Machine Learning Platform Engineer to join their innovative team. This role is central to developing and scaling the ML infrastructure that powers CrowdStrike's advanced threat detection capabilities, processing an impressive 3 trillion events daily.

The position offers an exciting opportunity to work on large-scale distributed systems and cutting-edge ML infrastructure. As an Engineer III, you'll be responsible for designing and implementing enterprise-scale ML platforms using modern technologies like Ray, Kubernetes, and cloud-native solutions. The role involves architecting high-performance model serving systems capable of handling millions of predictions per second and building robust pipelines for model training, deployment, and monitoring.

The ideal candidate brings 5+ years of software engineering experience with distributed systems and ML platforms. Strong expertise in Python, modern ML infrastructure tools, and cloud platforms is essential. The role requires deep knowledge of performance optimization, scalability, and experience with tools like MLflow, Kubeflow, and JupyterHub.

CrowdStrike offers an attractive combination of technical challenges and meaningful impact. Your work will directly strengthen their core mission of stopping breaches by building and scaling the infrastructure that powers next-generation ML capabilities. The company provides a comprehensive benefits package including flexible work culture, competitive compensation, wellness programs, and professional development opportunities.

This is an excellent opportunity for a senior engineer passionate about machine learning infrastructure, distributed systems, and cybersecurity. You'll be working with cutting-edge technologies while contributing to a mission that protects organizations worldwide from sophisticated cyber threats. The hybrid work environment in Bangalore offers both flexibility and the opportunity for in-person collaboration with a world-class team.

Last updated a day ago

Responsibilities For Engineer III - Machine Learning Platform

  • Design and implement enterprise-scale ML infrastructure using Ray, Kubernetes, and cloud-native technologies
  • Architect high-performance model serving solutions handling millions of predictions per second
  • Build robust, scalable systems for model training, deployment, and monitoring
  • Lead technical decisions for critical ML platform components
  • Develop automated ML pipelines using Airflow and MLflow
  • Implement sophisticated monitoring and observability solutions
  • Optimize resource utilization across distributed computing environments
  • Design fault-tolerant, highly available ML systems

Requirements For Engineer III - Machine Learning Platform

Python
Kubernetes
Redis
Go
  • 5+ years of software engineering experience with distributed systems
  • 5+ years of hands-on experience building ML platforms
  • Deep expertise in Python and modern ML infrastructure tools
  • Proven experience with Kubernetes, containerization, and cloud platforms
  • Strong background in performance optimization and scalability
  • Experience with Ray, JupyterHub, MLflow, or similar ML platforms
  • Experience with AWS/GCP/Azure, Terraform
  • Knowledge of observability tools like Prometheus, Grafana
  • Experience with CI/CD tools like GitLab, Jenkins

Benefits For Engineer III - Machine Learning Platform

Medical Insurance
Mental Health Assistance
Parental Leave
Education Budget
  • Remote-friendly and flexible work culture
  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays
  • Paid parental and adoption leaves
  • Professional development opportunities
  • Employee Networks and volunteer opportunities
  • Vibrant office culture with world class amenities

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