Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The role requires leading the development of network control systems for renewable energy projects, managing critical telecommunications operations, and overseeing the cybersecurity of the networked systems.

The role involves developing and managing backend systems and cloud infrastructure for energy storage operations, ensuring reliability and scalability through Python and AWS. Responsibilities include coding, infrastructure management, CI/CD pipeline development, and incident response leadership.

Join a renewable energy venture as an Analyst/Associate to support financial modeling for energy storage projects, working on debt/equity structuring, project sales, and risk assessment.

The Senior Principal Energy Storage DevSecOps Solutions Engineer will design and operate backend services, write production code in Python, and manage cloud infrastructure in AWS, emphasizing automated workflows and CI/CD pipelines.

The Sr. Energy Storage Grid Performance Operations Engineer will optimize and evaluate performance initiatives across renewable energy projects, focusing on reliability and market operations.

The FP&A Associate/Manager role involves leading financial analyses, cash flow modeling, variance monitoring, and collaboration with departments for budget forecasting in renewable energy finance.

Join a renewable energy venture focusing on utility-scale energy storage projects. Responsibilities include financial modeling, analysis, and structuring. Strong communication skills and project finance experience are crucial.

The Finance Transactions Paralegal will support corporate finance and project finance initiatives, managing due diligence processes and KYC procedures, while ensuring compliance and effective communication within legal operations.

The role involves identifying and developing utility-scale renewable energy and energy storage projects, including site acquisition and negotiations with landowners.

Lead the development and implementation of machine learning models for energy trading optimization and forecasting, while overseeing a team of data scientists and engineers.