Sr. Engineer – Machine Learning Platform (Hybrid)

Bangalore, India

⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️

CrowdStrike

CrowdStrike is a global cybersecurity leader with an advanced cloud-native platform for protecting endpoints, cloud workloads, identities and data.

View all jobs at CrowdStrike

Apply now Apply later

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 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

MLOps & Infrastructure

  • 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

Performance Engineering

  • Optimize large-scale distributed systems for maximum throughput

  • Implement advanced memory management strategies for ML workloads

  • Design and optimize real-time inference systems

  • Tune system performance for production-grade ML operations

What You'll Need:

  • 8+ years of software engineering experience with distributed systems

  • 4+ 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

Technical Expertise:

  • Distributed Systems: Ray, Kubernetes, Docker or similar large scale distributed systems

  • ML Platforms: MLflow, Kubeflow, JupyterHub, Kubeflow

  • Infrastructure: AWS/GCP/Azure, Terraform

  • Languages: Python, Go

  • 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

  • Background in cybersecurity or threat detection

  • Track record of leading technical initiatives

  • Experience with large-scale data processing systems

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-VJ1

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 recruiting@crowdstrike.com for further assistance.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0

Tags: Airflow Architecture AWS Azure CI/CD Distributed Systems Docker Engineering GCP GitLab Grafana Jenkins Kubeflow Kubernetes Machine Learning MLFlow ML infrastructure MLOps Model training Open Source Pipelines Python Security Terraform

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Team events Wellness

Region: Asia/Pacific
Country: India

More jobs like this