Site Reliability/Devops Engineer
Graphon.AI
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Site Reliability/Devops Engineer at Graphon.AI, San Francisco. Posted Jun 12, 2026, last seen on the employer's hiring page Nov 5, 2026.
Role We are hiring a DevOps / SRE Engineer to help build, automate, operate, and optimize the deployment, maintenance and development of our systems. Working alongside senior engineers, you’ll contribute to our application code, infrastructure-as-code, CI/CD pipelines, deployments, monitoring, and...
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Role
We are hiring a DevOps / SRE Engineer to help build, automate, operate, and optimize the deployment, maintenance and development of our systems.
Working alongside senior engineers, you’ll contribute to our application code, infrastructure-as-code, CI/CD pipelines, deployments, monitoring, and more in a multi-cloud environment.
About Graphon
Graphon AI is building the pre-model intelligence layer for the next generation of AI. We are developing the context engine layer that solves a fundamental challenge: “What if I could just dump all my data and GPT/Claude/Gemini could smartly reason across it?” Today, this is incredibly difficult due to the limitations of LLM context windows and the fundamental squared scaling inherent to attention mechanisms. While sparse attention and RAG systems attempt to address this, they haven't proven to be robust general solutions.
Our Approach
Pre-model intelligence is our answer. We believe a graph-based approach that analyzes relationships across data on a topological level provides the correct inductive bias for long-context multimodal reasoning.
Just as CNNs provided the bias for spatial invariance in vision, and Transformers established the standard for sequential dependencies in language, our framework provides the structural foundation needed for complex, interconnected data.
We believe the next wave of AI progress will come from better infrastructure around models:
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Better Memory & Context: Creating truly persistent, scalable state.
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Better Representations: Moving beyond simple embeddings to relational world models.
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Universal Infrastructure: A way to stop rebuilding the same context layer for every agent, dataset, and application.
The Team
We are a lean, experienced team that values ownership, pragmatism, and technical excellence. We have raised a significant seed round from top-tier VCs and strategic foundation model providers to scale this new paradigm.
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Arbaaz Khan, CEO: ex-Amazon; PhD in Robotics and ML.
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Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML.
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Deepak Mishra, COO: ex-VC; 10+ years of Enterprise Technology experience.
About You
Required
- You are comfortable writing and maintaining real code (Bash, Python)
- Comfortable using AI tools to accelerate your work
- Have familiarity with Infrastructure-as-code, Docker, CI/CD pipelines, Cloud Environment deployments
- Have a working understanding of networking & identity access in cloud environments
- A 'right tool for the job' mindset. Loves brainstorming with the team to find the best solution.
- Ability to move fast in a startup environment and not afraid to operate on all parts of the system.
- Willingness to manage production environments serving real customers.
Nice to Have
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Experience building developer-facing products, dashboards, or internal tools.
- Cloud Certification
Compensation & Benefits
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Base salary range: $100,00-$200,000 (depending on experience and level)
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Meaningful equity with the opportunity to own a real stake in a category-defining company
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Benefits Competitive perks in a fast-moving, high-ownership environment
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