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Senior Software Engineer (AI Developer Experience)

Compass · Ventura, United States

External listingfull-time25 days ago

About The Role

Join Compass, a leading real estate technology company, as a Senior Software Engineer focused on AI Developer Experience. In this role, you will work on key components of our platform, including observability, engineering telemetry, software catalog systems, and AI-assisted workflows. You will analyze developer workflows, build and maintain subsystems, and integrate AI tools into daily engineering workflows. This position requires a strong background in software development, experience with cloud infrastructure, and a passion for improving engineering productivity.

  • Maximizing localized engineering velocity by creating fast feedback loops, optimizing system efficiency, and building reliable workflows across the software development lifecycle.
  • Owning and implementing systems that use engineering signals to automate manual developer work, improve testing frameworks, assist with production troubleshooting, and create smart workflow orchestrations.
  • Delivering and implementing technical solutions for Developer Intelligence systems, focusing on engineering telemetry collection, observability instrumentation, and AI-assisted tooling.
  • Practical experience working with data pipelines, engineering telemetry streams, large-scale observability infrastructures (logs, metrics, traces), or developer metrics frameworks
  • BS in Computer Science, Software Engineering, or equivalent practical experience
  • Proficiency in Go and professional experience with Python (highly preferred for telemetry pipelines and AI workflows)
  • Experience embedding AI models, LLM APIs, or automated orchestration tools into software pipelines or system triaging workflows
  • 5+ years of professional software development experience, with a proven track record of delivering complex technical components autonomously
  • Experience developing, deploying, and operating software components on a major cloud infrastructure (AWS, GCP, or Azure)
  • Familiarity with core SDLC infrastructure - including exposure to build systems, local development environments, or automated testing frameworks
  • A strong track record of building internal tools for other engineers, with an active focus on resolving developer pain points
  • Experience automating and simplifying internal development practices to boost team-wide engineering productivity

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