Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
Help shape a more abundant, efficient, and resilient energy future for the digital era.
Join a company defining a new category — capacity acceleration for AI.
Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid https://techcrunch.com/2025/05/27/gridcare-thinks-more-than-100-gw-of-data-center-capacity-is-hiding-in-the-grid/
Utility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connection https://www.utilitydive.com/news/gridcare-portland-general-pge-data-centers/803097/
Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers https://www.datacenterdynamics.com/en/analysis/from-years-to-months-creating-an-ai-fast-lane-for-grid-connection/
Design and operate infrastructure on AWS using Terraform and Kubernetes
Build monitoring, alerting, and observability (Prometheus, Grafana, Datadog, or similar) with meaningful SLOs/SLIs
Automate away toil — deployment pipelines, capacity management, self-healing systems
Partner with engineering on architecture reviews to catch reliability and scalability risks before they ship
Manage database and data pipeline reliability for large-scale, real-time grid data processing
Drive security and compliance best practices across infrastructure
5+ years in SRE, DevOps, or infrastructure engineering roles