Senior Business Systems Engineer- Data Center Systems II

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .

What You’ll Do

About the Team

The Business Systems Engineering team partners closely with Data Center Operations, Infrastructure, Facilities, and IT to design and scale the systems that power CoreWeave’s global data center footprint. This team owns the platforms and integrations that enable asset lifecycle management, operational visibility, and infrastructure automation across high-density, multi-site environments.

About the Role

We are seeking a highly driven Business Systems Engineer to support and scale the systems that enable Data Center Operations. This role focuses on data center asset lifecycle management, project and portfolio management, MRO (maintenance, repair, and overhaul), infrastructure automation, and commissioning workflows across multiple sites.

You will play a critical role in building and operating the platforms that keep our data centers observable, automated, and resilient at scale. This includes ownership of DCIM, asset tracking systems, and internally built tooling that ensures high data integrity, efficient workflows, and seamless system interoperability across operations and IT.

This is not a traditional operations role—you will be engineering the systems layer that underpins data center execution.

What You’ll Own

• Serve as a strategic systems partner to Data Center Operations, Infrastructure, and Facilities teams
• Own and evolve integrations across DCIM (e.g., Sunbird), SCADA/HMI platforms (e.g., Ignition), BMS, CMMS, NetBox, Jira, and ERP systems
• Build and maintain API-driven integrations, event pipelines, and webhook-based workflows across the operational tooling ecosystem
• Define and manage SLIs, SLOs, and error budgets for critical operational systems
• Design and implement full-stack observability (metrics, logs, traces) with dashboards for real-time data center visibility
• Develop internal tools, microservices, and automation frameworks to extend platform capabilities and close integration gaps
• Build unified dashboards and alerting systems for data center health, asset lifecycle tracking, capacity planning, and project milestones
• Design, operate, and scale Kubernetes clusters supporting operational workloads, including orchestration, multi-cluster strategy, upgrades, and reliability engineering
• Implement in