Full-Time

Infrastructure Engineer

Confirmed live in the last 24 hours

Gridmatic

Gridmatic

11-50 employees

AI-driven optimization for renewable energy assets

Energy
AI & Machine Learning

Compensation Overview

$160k - $210kAnnually

Mid

Cupertino, CA, USA

Hybrid policy requires 50% in-office presence, typically 2 to 3 days a week in Cupertino.

Category
DevOps & Infrastructure
Site Reliability Engineering
Cloud Engineering
DevOps Engineering
Required Skills
Microsoft Azure
Python
AWS
Go
Terraform
Google Cloud Platform
Requirements
  • 3+ years of software engineering
  • A proven track record of building and shipping production-grade software (i.e. with a focus on reliability, performance, scale, managing distributed systems, etc.)
  • Solid programming experience: you’ll work mostly in Python and Go, but we care more about your general engineering skills than your knowledge of a specific language.
  • Working familiarity with major cloud providers, such as GCP, Azure, or AWS (we primarily use GCP, so that particular experience would be a bonus)
  • Exposure to infrastructure-as-code tooling such as Terraform, Pulumi, or Amazon Cloud Formation
  • Have experience with owning the full lifecycle of software, from design, test, deployment, and production support
Responsibilities
  • Building new API services to grow our uniquely challenging gridscale battery capabilities
  • Writing infrastructure-as-code (e.g. Terraform) to harden and scale our cloud environment - this is a work progress for us, and we’d love your help and skills to get from 50% to 90%
  • Observability: we're just starting on this as a focus, and there's a huge opportunity for growth as we try to uplevel everything all at once (metrics, logging, tracing, alerting, even security-focused goals like detection and response)
  • Creating internal tooling to support our production environment and help enable our engineers to write more performant software with ease with new libraries

Gridmatic uses artificial intelligence to improve the performance and profitability of renewable energy assets for three main clients: energy generators, storage operators, and consumers. For generators, it predicts energy prices and manages risks to maximize returns. For storage operators, it optimizes revenue while minimizing performance risks, and for consumers, it helps reduce energy costs and meet procurement goals. The company aims to modernize energy markets to accelerate the adoption of clean energy and support the decarbonization of the energy grid.

Company Stage

Seed

Total Funding

$5.8M

Headquarters

Cupertino, California

Founded

2020

Growth & Insights
Headcount

6 month growth

21%

1 year growth

50%

2 year growth

36%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased interest in AI-driven energy solutions boosts partnerships with energy providers.
  • The Inflation Reduction Act offers tax incentives, enhancing Gridmatic's financial attractiveness.
  • Advancements in battery technology improve storage efficiency, aligning with Gridmatic's focus.

What critics are saying

  • Increased competition from AI-driven energy optimization companies may erode market share.
  • Regulatory changes in Texas could impact operations as a Retail Electric Provider.
  • Cybersecurity threats to AI systems pose risks to data integrity and reliability.

What makes Gridmatic unique

  • Gridmatic uses AI to optimize renewable energy asset performance and profitability.
  • The company offers tolling, offtake, and supply contracts for clean energy assets.
  • Gridmatic is a licensed Retail Electric Provider in Texas, enhancing market credibility.

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