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.
About UsWe’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.
Working at DriverWe’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.
The RoleWe’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.
What You’ll Do- Design, deploy, and maintain cloud infrastructure (primarily AWS)
- Build and automate CI/CD pipelines and deployment systems
- Write code (Python, Go, or similar) to improve tooling and workflows
- Manage and optimize Linux-based systems in production
- Configure and troubleshoot networking (DNS, firewalls, routing, etc.)
- Implement monitoring, logging, and alerting systems
- Improve developer experience and internal tooling
- Leverage AI tools (Claude, ChatGPT, etc.) to accelerate operations and engineering workflows
- Continuously refine infrastructure for performance, reliability, and cost-efficiency
- Manage bi-weekly releases
- Work with sales engineering to optimize customer on boarding and automation.
- Strong experience with Linux systems (you’re comfortable living in the terminal)
- Solid understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing)
- Hands-on experience with AWS (EC2, VPC, IAM, S3, etc.)
- Experience deploying and managing production services
- Familiarity with infrastructure as code (CDK, Terraform, CloudFormation, etc.)
- Experience with containers (Docker) and ideally orchestration (Kubernetes or ECS)
- You write code, not just configs — you communicate with infrastructure through code
- Comfortable scripting and building tools to solve problems
- Experience with at least one programming language (Python, Go, Rust, etc.)
- Actively uses AI tools to enhance productivity
- Curious about how AI can improve workflows, automation, and debugging
- Open to experimenting with new tools and approaches
- A computer enthusiast—you enjoy tinkering, optimizing, and learning
- You care about clean systems and elegant solutions
- You’re proactive and don’t wait to be told what to fix
- You thrive in fast-moving, ambiguous environments
- You communicate across silos to coordinate and achieve resolution
- You have a minimum 3-5 solid years of experience in devops, software engineering, and/or computer engineering. Senior devops roles open as well for candidates with 7-10+ years experience
- Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
- Experience in startups or small teams
- Contributions to open source or personal projects
- Work on real AI-driven products from day one
- High ownership and autonomy
- Opportunity to shape infrastructure and engineering culture
- Opportunity to work in other roles and develop new skills
- Small, sharp team that values builders
- Competitive Compensation Packages - Cash & Equity
- Flexible Work Culture
- Unlimited Time Off + 12 Paid Company Holidays
- Insurance - Health, Dental, & Vision
- Life Insurance & FSA Accounts
- 401(k) Retirement Accounts - Traditional, Roth, or Both
- Quarterly Team Offsites
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.
What We Do
**Embedded World 2025 Software Award Winner!** Driver is an AI-powered platform that automates technical documentation. We built Driver so engineers can spend less time understanding code and writing documentation and more time building extraordinary things. Driver Docs is our automated documentation platform that intelligently analyzes codebases, generates contextual documentation, and maintains it across changes. Driver Studio offers teams structured workflows and intelligent assistance for producing documents for multiple audiences, including user guides, onboarding guides, and diagrams. By seamlessly analyzing codebases and keeping documentation synchronized with code changes, Driver reduces documentation effort by up to 80%. With Driver, engineering teams can understand and document legacy code in days instead of months, onboard engineers twice as fast, and improve customer engagement through accurate and up-to-date documentation and SDKs. To learn more, visit driver.ai.
