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# Staff AI Cloud Engineer

- **Company:** Quad City Automotive Group, LLC
- **Location:** Seattle, WA, United States (Remote available)
- **Salary:** $180,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Distributed Systems, Python (Programming Language), TypeScript, Backend, Kubernetes, Low Latency, Production Code, Build Tools, Golang
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c87475014bfc48d3

## About the Role

* 15+ years of experience in architecture.
 * Founding Engineer experienced with scaling startups.
 * Ability to influence multiple teams without relying on formal authority.
 * Resourceful and Independent to own and operate across teams and individual projects.
 * Strong experience designing, building, and operating production software systems.
 * Deep expertise in AI systems, backend or distributed systems, infrastructure and cloud architecture.
 * Practical understanding of modern AI systems, including foundation models, inference, retrieval, orchestration, evaluation, latency, and cost.
 * Strong working knowledge of full-stack development.
 * Experience with Python, Go, TypeScript, Kubernetes, and major cloud platforms.

## Description

You will partner with Engineering Managers and senior engineers to improve architecture, technical design, code reviews, CI/CD, infrastructure, and engineering practices. You will also remain an active individual contributor, shipping production code and leading technically complex initiatives.

This is not a traditional architect role focused on diagrams and approvals. You will build systems, create practical engineering guardrails, and help teams make better technical decisions without becoming a bottleneck.

What you will do:

 * Define and evolve architecture and engineering practices across multiple teams.
 * Partner with Engineering Managers and technical leads on complex system-design decisions.
 * Lead technical designs, RFCs, architecture reviews, and critical code reviews.
 * Build and ship production systems across AI, backend, cloud, infrastructure, and full-stack applications.
 * Improve CI/CD, testing, observability, reliability, security, and developer experience.
 * Create reusable platforms, libraries, reference implementations, and paved roads for teams.
 * Help design and operate production AI systems, including model integration, orchestration, retrieval, evaluation, and monitoring.
 * Contribute to cloud infrastructure and help resolve complex production issues.
 * Mentor engineers and raise technical quality through hands-on leadership.
 * Ensure engineering standards remain effective after they are introduced.


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