As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
We're seeking an exceptional Senior ML Platform Engineer to join our elite team in building next-generation machine learning infrastructure. You'll be at the forefront of developing scalable ML platforms that power CrowdStrike's threat detection and prevention capabilities, processing data at unprecedented scale.
What You'll Do:
Architecture & Development
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.
Ability to write clean code in any programming language (Preferably Python)
Lead technical decisions for critical ML platform components
MLOps & Infrastructure
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.
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
Technical Expertise:
Distributed Systems: Ray, Kubernetes, Docker or similar large scale distributed systems
ML Platforms: MLflow, Kubeflow, JupyterHub or any similar systems
Infrastructure: AWS/GCP/Azure/OCI
Observability: Prometheus, Grafana
CI/CD: GitLab, Jenkins
What Sets You Apart:
Contributions to open-source ML infrastructure projects
Experience with real-time, high-throughput inference systems
Track record of leading technical initiatives
Experience with large-scale data processing systems
Why CrowdStrike: https://www.crowdstrike.com/en-us/careers/blog/employee-experience-rose-steingart/
Impact:
Your work will directly strengthen CrowdStrike's core mission of stopping breaches by building and scaling the infrastructure that powers our next-generation ML capabilities. Join us in protecting our customers and shaping the future of cybersecurity.
#LI-DP1
#LI-Remote
Benefits of Working at CrowdStrike:
Remote-friendly and flexible work culture
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.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.
