Senior Software Engineer, Full Stack

Gridware is a technology company focused on protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced active grid response platform uses high-precision mechanical sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is headquartered in San Francisco, California, and is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

In this role, you will lead development of full-stack systems that power our core platform. You’ll design and scale services that handle complex workflows, integrate data from thousands of devices, and ensure reliability across our growing infrastructure. Your work will directly impact how effectively our technology operates at scale.

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 

Paid parental leave 

Alternating day off (every other Monday)

“Off the Grid”, a two week per year paid break for all employees. 

Commuter allowance 

Company-paid training 

Design and scale backend services that connect thousands of Gridware devices to the cloud, enabling real-time monitoring and fault detection

Build and maintain user-facing applications and interfaces that surface fleet health, events, and operational insights

Develop and optimize APIs (including GraphQL) and data pipelines powering both internal tools and external workflows

Ensure performance, reliability, and usability across both frontend and backend systems

Collaborate closely with firmware, data, and design teams to deliver seamless end-to-end product experiences

Contribute to architecture decisions across the stack, improving scalability, data flow, and system resilience