Senior Cloud Software Engineer

Team: Off product SW and Data Sys Engr

Location: Menlo Park, CA

Workplace Type: onsite

Salary:

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

Ingest and process real-time telemetry from thousands of generators at high speed

Enable secure monitoring, diagnostics, and control of remote devices at scale

Build infrastructure to enable updating software on remote embedded devices

When our software works, customers stay powered. When it doesn’t, the stakes are real

Qualifications

You are a systems thinker who understands that software decisions impact physical infrastructure.

7+ years in software development on production systems, including team technical leadership 

Experience with device-to-cloud architectures, IoT and distributed telemetry pipelines

Experience with GCP (preferred) or AWS

Experience in distributed systems and cloud infrastructure

A reliability-first mindset — 99% uptime isn’t good enough

Experience in Industrial IoT, energy systems, industrial automation, or fleet-scale device platforms a plus

Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background.

In more traditional words, Mainspring Energy, Inc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.