DevOps Engineer (AI-Native, Builder Mindset)
Location: Remote
Company: Driver AI
Type: Full-time
Introduction
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 Us
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.
Working at Driver
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.
The Role
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.
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.
What We’re Looking For
Core Technical Skills
- 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)
Engineering Mindset
- 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.)
AI-Native Thinking
- 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
Who You Are
- 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
Nice to Have
- Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)
- Experience in startups or small teams
- Contributions to open source or personal projects
Why Join Us
- 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
