Senior Software Engineer (AI DevEx)
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Jul 9, 2026.
Join Compass, a leading real estate technology company, as a Senior Software Engineer in the Engineering Platform organization. In this role, you will focus on maximizing engineering velocity, optimizing system efficiency, and building reliable workflows across the software development lifecycle. You will work on key components of our platform, including observability, engineering telemetry, software catalog systems, and AI-assisted workflows. Your responsibilities will include delivering technical solutions, analyzing developer workflows, building and maintaining subsystems, writing high-quality code, and mentoring peers.
Missions
- 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.
Profil recherché
- BS in Computer Science, Software Engineering, or equivalent practical experience- Experience embedding AI models, LLM APIs, or automated orchestration tools into software pipelines or system triaging workflows
- Practical experience working with data pipelines, engineering telemetry streams, large-scale observability infrastructures (logs, metrics, traces), or developer metrics frameworks
- Proficiency in Go and professional experience with Python (highly preferred for telemetry pipelines and AI 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