You will design and build scalable backend storage mechanisms, APIs, and platform infrastructure to support complex data needs. You will also collaborate with product and analytics teams to manage the data lifecycle from ingestion to serving results for grid control interfaces.
You will perform technical modeling and analyses to evaluate flexible interconnections for large load sites while shaping the product roadmap for planning platforms. Additionally, you will collaborate with engineering and customer success teams to integrate utility data sets and support the adoption of flexible interconnection solutions.
You will develop and maintain high-fidelity power flow models while driving the architecture for reliable, large-scale grid simulations. Additionally, you will collaborate with utility customers to validate model outputs against real-world system measurements and integrate diverse datasets into the platform.
You will own the full lifecycle of ML model development, from exploratory analysis and design to production deployment and monitoring. You will collaborate with engineering and cross-functional teams to translate business objectives into reliable, data-driven forecasting solutions.
Design and build backend services and platform infrastructure while driving the reliability and observability of cloud-native systems. Lead CI/CD pipeline evolution and collaborate on incident response and postmortems to improve operational health.
