Full-Time
Infrastructure Engineer
Confirmed live in the last 24 hours
Gridmatic
11-50 employees
AI-driven optimization for renewable energy assets
Compensation Overview
$160k - $210kAnnually
Mid, Senior
Cupertino, CA, USA
Hybrid position requiring 50% in-office presence, typically 2 or 3 days a week in Cupertino.
You match the following Gridmatic's candidate preferences
Employers are more likely to interview you if you match these preferences:
- 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
- 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
- Managing Linux/Unix-based systems
- Containerization: Kubernetes (GKE, EKS, AKS), ECS, cloudrun, docker, podman
- CI/CD Build pipelines and release processes
- IoT or On Premise Devices
- An interest in security, reliability, and operations
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, while for storage operators, it optimizes revenue and minimizes non-performance risks. Consumers benefit from lower energy costs and better access to renewable energy. The company's goal is 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
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↓ -4%
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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Benefits
Hybrid Work Options
Flexible Work Hours