Developer Relations Engineer III - Developer Experience

Expedia Expedia · Hospitality · IL

Developer Relations Engineer III focused on empowering developers with AI tooling and workflows, creating content, building demos, and acting as a community advocate. Requires strong Python and hands-on LLM application experience.

What you'd actually do

  1. Create high-quality technical content (blog posts, video tutorials, live streams, documentation) that demystifies complex topics. Your work will cover everything from foundational concepts to advanced implementations of relevant and timely topics such as Innersourcing models, Standards & Best Practices, Learning & Development, and key developer workflow evolutions, including AI expansion, Agents and spec-driven development.
  2. Build and maintain open-source examples, reference architectures, and starter kits that showcase best practices. Your projects will serve as the "golden path" for developers building with our platform and popular AI tooling.
  3. Engage with developers and meet them where they are. Answer technical questions, solicit feedback, and foster a welcoming and supportive environment.
  4. Act as a critical feedback loop to our Product and Engineering teams. Systematically collect, analyze, and present developer feedback to ensure our roadmap is aligned with the real-world needs of the community.
  5. Deliver compelling talks and workshops that establish you and the company as thought leaders in the space.
  6. Stay on the absolute cutting edge of AI and other core concepts. Research and experiment with emerging technologies—multimodal models, new agentic frameworks, quantization techniques, and more—and help shape our developer relations strategy accordingly.

Skills

Required

  • 5+ years of professional experience in software development
  • 2+ years in a developer-facing role (Developer Relations, Developer Advocacy, Solutions Engineering, or similar)
  • Exceptional Communicator
  • Community-First Mindset
  • Advanced Proficiency in Python
  • Deep Hands-On AI/ML Expertise
  • Proficiency with the Modern Developer Stack
  • Core Languages: Expert-level proficiency in at least one of the following Python, Javascript/Typescript, Java/Kotlin
  • Infrastructure & Cloud: Strong practical knowledge of cloud platforms (AWS, GCP, or Azure) and modern infrastructure concepts like containers (Docker, Kubernetes), serverless computing, and Infrastructure-as-Code (Terraform, Pulumi)
  • Architectural Patterns: Solid understanding of API design (REST, GraphQL), distributed systems, microservices, and CI/CD principles

Nice to have

  • Platform engineering experience, including exposure to CI/CD, internal developer portals, and workflow orchestration
  • Experience in building and maintaining enterprise-level developer platforms
  • DevOps experience with orchestrating CI-CD workflows to multiple environments
  • Experience building or integrating native applications, SDKs, or developer toolchains

What the JD emphasized

  • Deep Hands-On AI/ML Expertise
  • Proven experience building applications with Large Language Models (LLMs)
  • multimodal models
  • agentic frameworks
  • quantization techniques

Other signals

  • AI expansion
  • Agents
  • popular AI tooling
  • Large Language Models (LLMs)
  • multimodal models
  • agentic frameworks
  • quantization techniques