Principal Cloud Software Engineer

Mainspringenergy; Edison (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Mainspring Energy, Inc is seeking a Principal Cloud Platform Software Engineer to lead the architecture of the cloud-to-field software ecosystem for our Linear Generator fleet. You will own the end-to-end cloud, data, and embedded device integration to enable reliable, scalable operations.

You will collaborate with embedded hardware, software, and operations teams to deliver real-time telemetry processing, secure remote monitoring, OTA updates, and data-driven fleet optimization with a strong

Qualifications

• 15+ years in software engineering with architectural leadership across multiple teams in high-stakes production environments.
• Deep experience in IIoT, energy systems, industrial automation, or managing fleet-scale device platforms.
• Deep experience architecting within AWS, GCP, or Azure environments, specifically for distributed systems and large-scale data platforms.
• A "physics-first" systems thinker who understands the interplay between cloud software and high-availability hardware.
• Expertise in distributed systems and data infrastructure (e.g., Spark, Snowflake, or equivalent high-throughput telemetry pipelines).
• Demonstrated success in leveraging AI/ML to drive developer productivity, predictive maintenance, and autonomous fleet management.
• A fundamental commitment to uptime; you believe 99% isn't good enough for critical energy infrastructure.
• Excellent communication skills with the ability to articulate complex technical visions to both internal engineering teams and executive stakeholders.

Responsibilities

• Lead the team building high-speed systems to ingest and process real-time telemetry from thousands of remote assets
• Design and build the infrastructure for secure remote monitoring, diagnostics, and large-scale software updates (OTA) on embedded devices
• Architect distributed data systems (e.g., Snowflake, Spark) to generate actionable insights and autonomous fleet optimizations
• Drive a reliability-first culture, implementing systems and processes that ensure 99.99%+ uptime for critical power infrastructure
• Embed AI into engineering workflows and product architecture to drive measurable gains in developer productivity and system reliability
• Collaborate with embedded systems, hardware design, and operations teams to ensure software-to-hardware synergy and long‑term fleet health

Skills

IIoT experience

Distributed systems

Cloud architecture

AI/ML in engineering

High-availability systems

Real-time telemetry

Data pipelines

DevOps for embedded

Communication skills

Leadership

Tools

Snowflake

Spark

AWS

GCP

Azure

Job description

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. We have a high-impact opportunity for a Principal Cloud Platform Software Engineer to join our world-class engineering team as we scale our global fleet.

In this role, you will be the lead architect owning the cloud-to-field software ecosystem that powers, monitors, and optimizes our distributed energy assets. This is a rare opportunity to unify cloud, data, and embedded device software under one technical vision. You will lead the team architecting industrial-grade, uptime-critical systems where software decisions directly impact physical infrastructure and global energy transition.

Responsibilities

• Lead the team building high-speed systems to ingest and process real-time telemetry from thousands of remote assets
• Design and build the infrastructure for secure remote monitoring, diagnostics, and large-scale software updates (OTA) on embedded devices
• Architect distributed data systems (e.g., Snowflake, Spark) to generate actionable insights and autonomous fleet optimizations
• Drive a reliability-first culture, implementing systems and processes that ensure 99.99%+ uptime for critical power infrastructure
• Embed AI into engineering workflows and product architecture to drive measurable gains in developer productivity and system reliability
• Collaborate with embedded systems, hardware design, and operations teams to ensure software-to-hardware synergy and long‑term fleet health

Qualifications

• 15+ years in software engineering, with a proven track record of architectural leadership across multiple teams in high-stakes production environments
• Deep experience in Industrial IoT (IIoT), energy systems, industrial automation, or managing fleet-scale device platforms
• Deep experience architecting within AWS, GCP, or Azure environments, specifically for distributed systems and large-scale data platforms
• A "physics-first" systems thinker who understands the interplay between cloud software and high-availability hardware
• Expertise in distributed systems and data infrastructure (e.g., Spark, Snowflake, or equivalent high-throughput telemetry pipelines)
• Demonstrated success in leveraging AI/ML to drive developer productivity, predictive maintenance, and autonomous fleet management
• A fundamental commitment to uptime; you believe 99% isn't good enough for critical energy infrastructure
• Excellent communication skills with the ability to articulate complex technical visions to both internal engineering teams and executive stakeholders

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.