Sr. ML Platform Engineer (Hybrid, IND)

About the Role:

Were seeking a Sr. Engineer - ML Platform (Infrastructure & Debugging Specialist) to maintain and optimize CrowdStrikes mission-critical ML infrastructure. Youll diagnose complex distributed systems issues and ensure platform reliability for infrastructure processing billions of events daily.

What Youll Do:

Platform Reliability & Debugging: Diagnose and resolve issues across Ray Spark Airflow MLflow JupyterHub Kubeflow and SLURM Perform root cause analysis on production incidents affecting training and inference pipelines Debug performance bottlenecks resource contention memory leaks and scheduling conflicts Develop debugging tools and diagnostic frameworks

System Optimization & Performance: Profile and optimize Ray clusters and Spark jobs on K8s and Cloud (EMR/Dataproc) Troubleshoot JupyterHub spawner issues kernel crashes and resource allocation Optimize SLURM job scheduling GPU allocation and HPC cluster utilization

Infrastructure & Monitoring: Build observability solutions and automated health checks Develop runbooks alerting workflows and incident response procedures Maintain platform stability metrics (SLAs error rates latency)

Collaboration: Partner with ML and ML Platform engineers to resolve workflow issues Conduct post-mortems and mentor on debugging techniques

What Youll Need:

• 12 years in distributed systems engineering

• 5 years debugging ML platforms in production

• Deep expertise in 3 one of: Ray Spark JupyterHub SLURM K8 Performance profiling optimization and capacity planning

Technical Skills (Expertise in at least one):

• Distributed ML: Ray Spark SLURM Jupyter Ecosystem (debugging failures performance tuning)

• ML Platforms: Airflow MLflow JupyterHub (troubleshooting core components) Infrastructure: Kubernetes Docker AWS/GCP/Azure/OCI

• Observability: Profiling tools distributed tracing Prometheus Grafana log aggregation

• Programming: Expert Python debugging multi-language proficiency Linux/Unix

What Sets You Apart: Open-source ML infrastructure contributions Experience with high-throughput inference systems and reducing MTTR Published debugging guides or tools Chaos engineering and GPU/CUDA debugging experience On-call and incident management experience

#LI-DP1

Benefits of Working at CrowdStrike:

• 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

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.

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