Staff Software Engineer

CoreWeave

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

3 days ago

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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

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.

Requirements:

Requires 10+ years of experience in platform or infrastructure engineering with deep expertise in Kubernetes and distributed systems. Must have a proven track record of managing mission-critical systems with high availability and proficiency in IaC and observability tools.

Key Skills: