Senior Platform Engineer: Kubernetes & Data Platform

CoreWeave

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Company-paid Life Insurance
Voluntary Supplemental Life Insurance
Short-term Disability Insurance
Long-term Disability Insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits
Family-Forming Support
Paid Parental Leave
Childcare Support
401(k) with Employer Match
Flexible PTO
Catered Lunch

Job summary

CoreWeave is seeking a senior platform/infrastructure engineer to own the reliability, performance, and security of a Kubernetes-based data platform. You will architect and operate multi-region systems enabling data ingestion, transformation, and AI workloads at scale.

The role requires 10+ years in platform engineering with deep Kubernetes expertise and a proven track record in high-availability environments, IaC, and observability tools.

Qualifications

  • Requires 10+ years of experience in platform or infrastructure engineering with deep Kubernetes and distributed systems expertise.
  • Proven track record of managing mission-critical systems with high availability.
  • Proficiency in IaC and observability tools for monitoring, tracing, and alerting.

Responsibilities

  • Take end-to-end ownership of the reliability, performance, and security of a Kubernetes-based data platform.
  • Architect and operate highly available, multi-region systems to support data ingestion, transformation, and AI workloads at scale.

Skills

Kubernetes
Platform Engineering
Distributed Systems
Spark
Airflow
Kafka
Flink
Argo CD
GitHub Actions
Prometheus
Grafana
OpenTelemetry
Helm
Terraform
Pulumi
Cloud-Native Security

Tools

Terraform
Pulumi
Argo CD
GitHub Actions
Prometheus
Grafana
OpenTelemetry
Helm

Job description

CoreWeave is seeking a senior platform/infrastructure engineer to own the reliability, performance, and security of a Kubernetes-based data platform. You will architect and operate multi-region systems enabling data ingestion, transformation, and AI workloads at scale.

The role requires 10+ years in platform engineering with deep Kubernetes expertise and a proven track record in high-availability environments, IaC, and observability tools.

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