Key skills
Linux systemsNetworking fundamentalsAWSInfrastructure as codeContainersContainer orchestrationProgramming languagesPythonGoRustAIClaudeBITerraformKubernetesDockerECSCloudFormationEC2S3IAMPrometheusGrafanaOpenTelemetryLoad BalancingCI/CDSales
About this role
Driver AI is an early-stage startup focused on building AI-assisted development technology. They are seeking a DevOps Engineer who will design, deploy, and maintain cloud infrastructure while leveraging AI tools to optimize operations and workflows.
Responsibilities:
- 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
Requirements:
- 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