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.