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채용CrowdStrike

Sr. ML Platform Engineer (Hybrid)

CrowdStrike

Sr. ML Platform Engineer (Hybrid)

CrowdStrike

India - Bangalore

·

On-site

·

Full-time

·

3w ago

필수 스킬

AWS

Docker

Kubernetes

GCP

Azure

Spark

Airflow

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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 Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers 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 a Sr. Engineer
  • ML Platform (Infrastructure & Debugging Specialist) to maintain and optimize Crowd Strike's mission-critical ML infrastructure. You'll diagnose complex distributed systems issues and ensure platform reliability for infrastructure processing billions of events daily.

What You'll Do:

Platform Reliability & Debugging: Diagnose and resolve issues across Ray, Spark, Airflow, MLflow, Jupyter Hub, 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 Jupyter Hub 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 You'll Need:

  • 12+ years in distributed systems engineering

  • 5+ years debugging ML platforms in production

  • Deep expertise in 3+ one of: Ray, Spark, Jupyter Hub, 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, Jupyter Hub (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

Benefits of Working at Crowd Strike:

  • 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

Crowd Strike 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.

Crowd Strike 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.

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CrowdStrike 소개

CrowdStrike

CrowdStrike Holdings, Inc. is an American cybersecurity technology company based in Austin, Texas. It provides endpoint security, threat intelligence, and cyberattack response services.

5,001-10,000

직원 수

Austin

본사 위치

$50B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

2.8

보상

4.2

문화

4.1

커리어

3.8

경영진

2.5

72%

친구에게 추천

장점

Great team culture and collaborative environment

Innovative and cutting-edge technology

Excellent compensation and benefits

단점

Fast-paced environment can be stressful/overwhelming

Work-life balance challenges

Management lacks direction and listening skills

연봉 정보

9개 데이터

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0개 리포트

$102,887

총 연봉

기본급

$41,155

주식

$51,444

보너스

$10,289

$72,021

$133,753

면접 경험

8개 면접

난이도

3.3

/ 5

소요 기간

14-28주

합격률

25%

경험

긍정 13%

보통 50%

부정 37%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Hiring Manager Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience