Senior Cloud Infrastructure Engineer
Quick Summary
Develop and maintain our cloud infrastructure and the infrastructure as code (IaC) tooling to manage it. Implement best practices for data management and service delivery.
Minimum Qualifications Bachelor's degree in Computer Science, or a related field, or equivalent practical experience. 7+ years of experience in Cloud Infrastructure, DevOps, or a related field.
GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
At GridCARE, you will:
⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.
🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.
🚀 Join a company defining a new category — capacity acceleration for AI.
💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
Learn more about GridCARE:
TechCrunch: GridCARE thinks more than 100 MW of data-center capacity is hiding in the grid
Canary Media: Oregon utility tries out a faster, cheaper way to power data centers
SF Examiner: Silicon Valley startup offers AI-powered way to provide power for AI
The Washington Post: The U.S. may have a secret weapon against rising electricity prices
The ideal candidate will be responsible for designing, implementing, and maintaining robust and scalable cloud infrastructure for our B2B SaaS platform, which leverages machine learning models and cloud-native technologies, and integration with third party windows applications. This role requires deep expertise in cloud architecture (GCP/AWS/Azure), infrastructure-as-code, windows cloud deployments, and managing complex, data-intensive environments.
Responsibilities
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Develop and maintain our cloud infrastructure and the infrastructure as code (IaC) tooling to manage it.
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Implement best practices for data management and service delivery.
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Collaborate with engineering and ML teams to design and optimize platform architecture.
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Ensure operational excellence and contribute to the maturity of our infrastructure platform.
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Automate the infrastructure and deployment pipelines necessary to run third-party Windows applications securely and scalably on our cloud platform.
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Design and evolve the internal SaaS and productivity stack to scale with the company’s growth.
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Stay engaged with the latest infrastructure engineering news, standards, and emerging AI-driven solutions.
Requirements
~1 min readRequirements
~1 min readBachelor's degree in Computer Science, or a related field, or equivalent practical experience.
7+ years of experience in Cloud Infrastructure, DevOps, or a related field.
Extensive experience with at least one major cloud provider (GCP, AWS, or Azure).
Proficiency with Infrastructure as Code (IaC) tools such as Terraform.
Strong understanding of network architecture, cloud resource provisioning, and system reliability engineering.
Experience with monitoring and logging tools for large-scale production systems.
Experience with container orchestration (Kubernetes).
Requirements
~1 min readExperience designing and scaling machine learning infrastructure and model deployment pipelines.
Experience in automating cloud infrastructure for third-party Windows application hosting.
Relevant industry certifications (e.g., Google Cloud Professional Cloud Architect, AWS Certified Solutions Architect - Professional).
Experience with improving performance and reliability of B2B SaaS platforms.
Experience improving IT tooling across an organization.
Proven ability to work with cross-functional teams to drive infrastructure initiatives.
Proven experience in building and shipping B2B SaaS platforms for startups.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- February 2, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 21%
- Scored at
- May 6, 2026
Signal breakdown
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