Senior Platform Engineer

• Senior Software Engineer, Platform
• Location: Redwood City, CA (3 days/week in office)
• Job Type: Full-time · Hybrid
• 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.
• 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/
• GridCARE Named a World Economic Forum Technology Pioneer for AI Power Innovation https://www.businesswire.com/news/home/20260610932035/en/GridCARE-Named-a-World-Economic-Forum-Technology-Pioneer-for-AI-Power-Innovation
• Make systems dependable in production. Instrument services, investigate failures and performance bottlenecks, and partner with SRE on deployment, observability, and recovery.
• Build reliable usage metering. Capture durable API and job events, attribute usage to the right tenant and principal, and handle retries and deduplication so usage records remain accurate.
• 5+ years of relevant software engineering experience, with a track record of building shared backend capabilities for a multi-tenant product and owning their rollout and operation in production.
• Strong Python engineering skills and experience building production APIs and services with clear interfaces, tests, and maintainable data models.
• Hands-on experience building shared APIs, workflow services, or identity and access capabilities on managed services, with ownership of integration code, policies, and production behavior.
• Strong distributed systems fundamentals: you can reason about concurrency, partial failures, retries, idempotency, consistency, and backpressure.
• Practical experience implementing multi-tenant authorization: resource ownership, fine-grained permissions, trusted context across service boundaries, and access controls that hold through asynchronous execution.
• Experience with relational databases, queues, cloud services, and diagnosing production behavior through logs, metrics, and traces.
• Clear communication, thoughtful code review, and an interest in mentoring teammates. You can explain tradeoffs and work constructively across teams.
• Experience with FastAPI, Pydantic, OpenAPI, PostgreSQL, or the wider Python service ecosystem.
• Experience with durable workflow or job orchestration systems such as Temporal, Prefect, or Airflow.
• Experience with OAuth2/OIDC, Auth0 or similar identity providers, service identities, and relationship-based authorization systems such as OpenFGA.
• Familiarity with AWS, Kubernetes, object storage, and OpenTelemetry; experience with durable event processing or usage metering.

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