Location: Remote
Company: Driver AI
Type: Full-time
At Driver, we’re building systems that turn source code into human language. The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend server, and a frontend web application that provides a rich user experience.
We’re an early-stage startup backed by Y Combinator and Google Ventures that combines first principles technical approaches and applied LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees and AI agents alike to use in developing software.
We’re an AI-first startup building the latest in AI assisted development technology. Our team moves fast, experiments constantly, and uses cutting-edge AI tools to accelerate development and operations. We care deeply about craftsmanship, curiosity, and people who genuinely love working with computers.
We’re not looking for a traditional “pipeline babysitter.”
We’re looking for a DevOps engineer who codes, builds, and experiments—someone who understands systems end-to-end and enjoys optimizing them. You’ll help design, deploy, and scale infrastructure while actively leveraging AI tools to move faster and smarter.
This role sits at the intersection of infrastructure, software engineering, sales engineering and AI-assisted workflows.
Driver is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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