GridCARE provides AI software for electrical grid capacity planning. The company provides the ENERGIZE platform, which analyzes grid conditions, identifies underused transmission capacity, and supports faster power activation for large-scale AI infrastructure... Backed by Overture.
About the role
We're hiring a Senior/Staff Backend Software Engineer who has built and run a data platform before — and wants to do it again for a problem that matters. You'll be a foundational owner of the platform behind Energize™: the shared ingestion, storage, compute, and serving layers that our modeling, product, and customer-facing teams all build on. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience making foundational platform decisions — ingestion patterns, data modeling, schema evolution and data contracts, storage and compute layout — and carrying them through growth in data volume, sources, and users
- Experience architecting and operating production backend systems, with clear judgment on design tradeoffs
- Experience with distributed systems, concurrency, failure recovery, and safe migrations
- Hands-on AWS experience, including deployment automation, monitoring, and secure access management
- Strong Python, SQL, API design, and database modeling skills
- Experience developing ingestion and ETL/ELT pipelines into data marts and serving layers
More about this role
GridCARE is the pioneer of Power Acceleration — a new category solving the most critical constraint in AI's growth trajectory: immediate access to power . As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE's Energize™ platform uses physics-based AI to identify and activate gigawatts of hidden capacity in today's electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford's Doerr School of Sustainability, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure, and is backed by leading climate-tech and deep-tech investors.
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.
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