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CoreWeave

Rents GPU cloud computing for AI developers

Senior Software Engineer - Fleet Monitoring Analysis

Backend EngineeringUpdated on Nov 13
Full-timeWarsaw, PolandIn-person

About the Job

Requirements

  • At least 2 years of experience in a software or infrastructure engineering role in industry.
  • Experience with automation and orchestration workflows, and familiarity with server hardware, components, and strategies for managing physical infrastructure at scale.
  • Experience implementing metrics collection and alerting on standard monitoring platforms such as Prometheus, Victoria Metrics, AlertManager, Grafana, or similar observability stacks.
  • Proficiency working in Linux-based environments and using at least one scripting or programming language, such as Python or Go, to build tooling and automation.

Responsibilities

  • Design and implement large-scale server observability solutions that improve the stability and reliability of the global hardware fleet.
  • Adapt, extend, and implement open-source monitoring and alerting tooling, such as Prometheus-compatible exporters, AlertManager, and Victoria Metrics, to deepen visibility into fleet and environmental health.
  • Generate and maintain tailored reports, alarms, and visualizations used by Fleet Engineering and FROps to understand, respond to, and plan for fleet growth and change.
  • Create and evolve test plans, deployment automation, dashboards, alerts, and insights around fleet operations, and participate in the Fleet Engineering Developers’ on-call rotation.
  • Collaborate with teammates across Fleet Monitoring & Analysis to invest in each other’s growth, share ideas, and continuously improve monitoring and infrastructure automation.

Desired Qualifications

  • Experience designing or operating time-series monitoring at scale using Prometheus-compatible systems, Victoria Metrics, and related observability tooling such as Grafana and AlertManager.
  • Experience deploying and maintaining application services in Kubernetes.
  • Experience building or maintaining Slack bots, webhooks, or automation that consume alerts and drive lifecycle actions across a fleet, for example via Kubernetes controllers or Ansible.
  • Experience with data warehousing, SQL, and building reporting pipelines or dashboards for operational analytics in environments such as Grafana or similar business intelligence tools.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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