Sobre esta vaga de Senior Site Reliability Engineer na GridCARE
About Us
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 GW of data-center capacity is hiding in the grid
Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers
GridCARE Raises $64 Million Series A to Create a New Category: Power Acceleration
Job Description
We're looking for a Senior SRE to own the reliability, scalability, and observability of our production systems. You'll work closely with platform and data engineering to keep high-throughput, data-intensive services running at the availability our customers (utilities, data center operators) require.
Responsibilities
Design and operate infrastructure on AWS using Terraform and Kubernetes
Build monitoring, alerting, and observability (Prometheus, Grafana, Datadog, or similar) with meaningful SLOs/SLIs
Automate away toil — deployment pipelines, capacity management, self-healing systems
Partner with engineering on architecture reviews to catch reliability and scalability risks before they ship
Manage database and data pipeline reliability for large-scale, real-time grid data processing
Drive security and compliance best practices across infrastructure
Qualifications
Required
5+ years in SRE, DevOps, or infrastructure engineering roles
Deep experience with Kubernetes, Terraform/IaC, and cloud platforms (AWS Preferred)
Strong scripting/programming ability (Python, Bash)
Observability Experience (Prometheus, Grafana, Datadog)
Track record of running on-call for production systems and leading incident response
Experience with CI/CD pipelines (Github Actions) and infrastructure automation
Experience with Gitops concepts and tooling (ArgoCD/Flux)
Solid understanding of networking, distributed systems, and database reliability
Comfortable operating in a fast-moving startup environment with ambiguity
Preferred
Experience with data-intensive or real-time processing systems
Background in energy, climate tech, or critical infrastructure
Experience scaling infrastructure through hypergrowth
On-Prem Kubernetes Deployment Experience
Windows Server Administration Experience
What We Offer
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in office.
Hybrid schedule for local employees: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
Salary Range
$180,000-$230,000 Total
Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.
