Senior Kubernetes Platform Engineer – Multi-Cloud Scale

CrowdStrike

United States

Remote

USD 140,000 - 215,000

Full time

10 days ago
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Benefits offered by this job

Competitive pay
Equity awards
Wellness programs
Parental leave
Professional development
Diversity networks

Job summary

CrowdStrike is seeking a Sr. Platform Engineer to drive the global expansion of the Falcon platform. You will design scalable hybrid multi-cloud Kubernetes solutions and ensure reliability at scale, mentoring peers and shaping infrastructure choices.

The role requires 5+ years in Kubernetes, CJIS eligibility, and strong Linux and cloud experience across AWS/GCP/OCI. A, impactful engineering culture with AI-enhanced decision-making awaits.

Qualifications

  • 5+ years of Kubernetes experience including management of clusters with thousands of nodes.
  • Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status).
  • Proven experience with Prometheus, Thanos, Alertmanager, and Golang.
  • Experience operating in large-scale Linux environments and cloud providers (AWS, GCP, OCI).
  • Experience operating in data centers and on-call shifts.

Responsibilities

  • Design and implement scalable hybrid multi-cloud Kubernetes platform solutions.
  • Optimize and maintain high reliability of large-scale infrastructure platform systems.
  • Evaluate and integrate open-source technologies into existing systems workflows.
  • Provide insights and technical direction for evolving Kubernetes services.
  • Mentor engineers to drive collaborative technical decisions.

Skills

Kubernetes
Cloud experience
AI integration

Education

Bachelor’s degree in CS or Engineering

Tools

Kubernetes
Prometheus
Thanos
Alertmanager
Golang

Job description

CrowdStrike is seeking a Sr. Platform Engineer to drive the global expansion of the Falcon platform. You will design scalable hybrid multi-cloud Kubernetes solutions and ensure reliability at scale, mentoring peers and shaping infrastructure choices.

The role requires 5+ years in Kubernetes, CJIS eligibility, and strong Linux and cloud experience across AWS/GCP/OCI. A, impactful engineering culture with AI-enhanced decision-making awaits.

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