
Senior Cloud Software Engineer
mainspringenergy · Menlo Park, CA, United States
About The Role
About Mainspring
Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including AEP, NextEra Energy Resources, Schneider Electric, and more.
The core values that ground our work, guide our decisions, and connect us together
Pragmatic Optimism
Excellence without Ego
Proactive Collaboration
Job Overview
Mainspring Energy is reinventing distributed power generation with our Linear Generator — a fuel-flexible, ultra-low emissions platform delivering resilient, on-site power for commercial, industrial, and utility customers.
Now we’re scaling our fleet.
We’re looking for the right software engineers to own the cloud-to-device software ecosystem that monitors, manages and optimizes our distributed energy assets. This is a rare opportunity to unify cloud, data, and embedded device software under one technical vision — and scale a platform that directly enables the energy transition.
This is industrial-grade, uptime-critical, hardware-connected software.
You will be part of the team designing and building systems that
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Ingest and process real-time telemetry from thousands of generators at high speed
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Enable secure monitoring, diagnostics, and control of remote devices at scale
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Build infrastructure to enable updating software on remote embedded devices
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When our software works, customers stay powered. When it doesn’t, the stakes are real
Qualifications
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- You are a systems thinker who understands that software decisions impact physical infrastructure.
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- 7+ years in software development on production systems, including team technical leadership
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- Experience with device-to-cloud architectures, IoT and distributed telemetry pipelines
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- Experience with GCP (preferred) or AWS
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- Experience in distributed systems and cloud infrastructure
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- A reliability-first mindset — 99% uptime isn’t good enough
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- Experience in Industrial IoT, energy systems, industrial automation, or fleet-scale device platforms a plus
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