Senior Cloud Platform Architect - Industrial IoT & Energy

Mainspringenergy

Edison (CA)

On-site

USD 180,000 - 250,000

Full time

14 days+

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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