Principal Cloud Platform Software Engineer

Mainspring Energy•Menlo Park, CA

6h•Onsite

About The Position

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.

Requirements

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.

Responsibilities

Own the end-to-endLead 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.