Senior/Staff Backend Software Engineer - Data Platform

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.

• Join a company defining a new category — Power Acceleration for AI.

• Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.

Learn more about GridCARE:

• TechCrunch: 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

• GridCARE Raises $64 Million Series A to Create a New Category: Power Acceleration

• GridCARE Named a World Economic Forum Technology Pioneer for AI Power Innovation

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.

This isn't a role for someone who has only consumed a platform. We're looking for an engineer who has designed one: someone who has decided how data enters a system, defined the abstractions other engineers rely on, made the platform reliable enough that teams stop thinking about it, and lived with the consequences of those decisions in production. You'll bring that pattern recognition to GridCARE and set the technical direction for our platform on AWS.

You'll also build, monitor, and maintain teams of AI coding agents that accelerate how we develop and deliver software. Orchestration, observability, and scalability are central to the role.

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  Owning the architecture and roadmap of GridCARE's data platform, treating it as an internal product with clear users, interfaces, and service levels.

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  Designing how data enters the platform: ingestion architecture for heterogeneous energy and grid sources, the canonical data model, and the contracts that let sources change without breaking downstream consumers.

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  Building the shared foundations other teams build on — orchestration, storage layers, compute frameworks, and reusable patterns — so modeling and product engineers can ship without reinventing infrastructure.

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  Developing fast, reliable APIs and distributed processing services that connect energy data, analytical models, and customer workflows.

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  Establishing platform standards for data quality, lineage, observability, access control, and cost management.

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  Owning delivery from initial design through deployment and production operation, including on-call readiness and incident learning.

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  Building and operating AI coding agent teams, including coordination and evaluation.

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  Shaping technical decisions, mentoring engineers, and partnering with product and domain experts to understand what the platform needs to support next.