Staff AI Developer Tools Engineer (Remote-First)

Docker; Oregon; Hybrid; USD 170,000 - 276,000; Full time

Benefits offered by this job

Remote-first by design

Generous PTO

Home office stipend

Learning & development stipend

Parental leave

Equity for all full-time employees

Comprehensive benefits

Docker swag

Job summary

Docker is seeking a Staff Software Engineer to set the technical direction for AI Developer Tools and the self-service AI platform. You will own architecture for AI-powered developer tools, design patterns for LLM integration, and mentor engineers across Docker's teams.

You will work at the intersection of AI, developer experience, and platform engineering, partnering with Senior Manager and Principal engineers to deliver scalable, production-ready AI tooling across the organization.

Qualifications

• 8+ years of software engineering with leadership on production systems at scale.
• Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted tools.
• Strong understanding of LLM APIs, prompt engineering, and agent orchestration.

Responsibilities

• Set technical direction and architecture for AI-powered developer tools and the self-service platform.
• Lead design reviews and mentor engineers across teams.
• Design and build production AI agents and self-service platform capabilities.
• Ensure reliability, security, and cost management for AI systems.

Skills

LLM-powered applications

AI agents

Platform engineering

Kubernetes

Go (preferred)

Rust

Java

Python

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Pulumi

AWS

GCP

Azure

Job description

Docker is seeking a Staff Software Engineer to set the technical direction for AI Developer Tools and the self-service AI platform. You will own architecture for AI-powered developer tools, design patterns for LLM integration, and mentor engineers across Docker's teams.

You will work at the intersection of AI, developer experience, and platform engineering, partnering with Senior Manager and Principal engineers to deliver scalable, production-ready AI tooling across the organization.