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Full-Time

SRE

Updated on 7/23/2024

Gridmatic

Gridmatic

11-50 employees

AI-enabled clean energy optimization for markets

Hardware
Energy
Social Impact
AI & Machine Learning

Compensation Overview

$170k - $220kAnnually

Senior, Expert

Cupertino, CA, USA

Category
DevOps & Infrastructure
Site Reliability Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Ruby
Java
Docker
AWS
Go
Google Cloud Platform
Requirements
  • Experienced with building cloud services
  • Have worked with 3rd party cloud infrastructure (AWS, GCP, Azure)
  • Understand SRE principles, including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts
  • Proficiency in one or more high-level programming languages like Python (preferred), Golang, Java, Ruby or equivalent
  • Some exposure to Kubernetes and Docker
Responsibilities
  • Defining our availability with our applications
  • Driving our observability needs and choices
  • Helping build our incident response and process
  • Working on core libraries to support our applications
  • Developing tooling to improve our automation, observability, uptime, and application deployment

Gridmatic is dedicated to optimizing clean energy within electricity markets through AI-driven strategies that enhance profitability for renewable energy assets. As an industry leader in AI-enabled power marketing, Gridmatic supports energy suppliers, storage owners, and consumers by effectively predicting prices and managing risks. This focus on advanced technology and market leadership makes it an excellent workplace for professionals passionate about sustainable energy and technological innovation.

Company Stage

N/A

Total Funding

$46M

Headquarters

Cupertino, California

Founded

2020

Growth & Insights
Headcount

6 month growth

23%

1 year growth

12%

2 year growth

12%