Site Reliability/Devops Engineer

Graphon.AI; San Francisco (CA); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Competitive perks in a fast-moving environment

Meaningful equity opportunities

Job summary

Graphon.AI is looking for a DevOps / SRE Engineer to build, optimize, and automate their systems. You will work alongside senior engineers to maintain code, manage CI/CD pipelines, and operate in a multi-cloud environment.

The ideal candidate is comfortable with Bash and Python, has experience in Docker and CI/CD, and can manage production environments. The salary range is $100,000-$200,000 with opportunities for equity in a category-defining company.

Qualifications

• Comfortable writing and maintaining real code (Bash, Python).
• Familiarity with infrastructure-as-code, Docker, CI/CD pipelines.
• Ability to manage production environments serving real customers.

Responsibilities

• Help build, automate, operate, and optimize systems.
• Contribute to application code and infrastructure.
• Work in a multi-cloud environment.

Skills

Bash

Python

Infrastructure-as-code

Docker

CI/CD pipelines

Cloud Environment deployments

Networking

Job description

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.

The 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:

Better Memory & Context: Creating truly persistent, scalable state.

Better Representations: Moving beyond simple embeddings to relational world models.

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.

Arbaaz Khan, CEO: ex-Amazon; PhD in Robotics and ML.

Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML.

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

Base salary range: $100,00-$200,000 (depending on experience and level)

Meaningful equity with the opportunity to own a real stake in a category-defining company

Benefits Competitive perks in a fast-moving, high-ownership environment