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Sr. ML Platform Engineer (Hybrid)

CrowdStrike

India - Bangalore, IndiaFull Time
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Sr. ML Platform Engineer (Hybrid) at CrowdStrike is a full time role based in India - Bangalore, India. It was published on 7 August 2026 and was open at last check.

Sr. ML Platform Engineer (Hybrid) at CrowdStrike — key details
RoleSr. ML Platform Engineer (Hybrid)
CompanyCrowdStrike
LocationIndia - Bangalore, India
Employment typeFull Time
Published7 August 2026
StatusOpen at last check

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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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 a Sr. Engineer - ML Platform to maintain and optimize CrowdStrike'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, 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 You'll 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
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

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.

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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Sr. ML Platform Engineer (Hybrid) at CrowdStrike — questions answered

What does the Sr. ML Platform Engineer (Hybrid) role at CrowdStrike pay?

CrowdStrike does not publish a salary on this Sr. ML Platform Engineer (Hybrid) listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.

Where is the Sr. ML Platform Engineer (Hybrid) role at CrowdStrike based?

CrowdStrike lists this Sr. ML Platform Engineer (Hybrid) role in India - Bangalore, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with CrowdStrike before you apply.

Is the Sr. ML Platform Engineer (Hybrid) role at CrowdStrike still open?

The Sr. ML Platform Engineer (Hybrid) posting at CrowdStrike was open at OnJob's last check of the employer's careers page, having been published on 7 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Sr. ML Platform Engineer (Hybrid) role at CrowdStrike?

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