Senior Software Engineer; AI Developer

Role Overview

• The Engineering Platform organization owns the systems that every engineer at Compass depends on to build, test, deploy, and operate software
• Our mission is to reduce friction across the SDLC, improve engineering effectiveness, and build the foundation for AI-enabled software development
• This role is centered on maximizing localized engineering velocity by creating fast feedback loops, optimizing system efficiency, and building reliable workflows across the software development lifecycle
• As a Senior Engineer within the Developer Intelligence pillar, you will be an autonomous contributor focused on key components of our platform - working across observability, engineering telemetry, software catalog systems, and AI‑assisted workflows to deliver durable, high‑quality team capabilities
• Applying AI to the software development lifecycle is a first‑class responsibility for this role
• You will own and implement systems that use engineering signals to automate manual developer work, improve testing frameworks, assist with production troubleshooting, and create smart workflow orchestrations across your team’s technical domain
• Deliver and implement technical solutions for Developer Intelligence systems, focusing on engineering telemetry collection, observability instrumentation, and AI‑assisted tooling
• Analyze developer workflows and SDLC feedback loops to design testable, maintainable, and efficient software components that resolve architectural deficiencies
• Build and maintain subsystems that reliably collect, correlate, and operationalize data from CI/CD pipelines, source control, testing infrastructure, and developer workflows
• Write high‑quality, stable, and performant code to integrate AI tools into daily engineering workflows, including automated code reviews, software validation, and incident triaging
• Work closely with teammates and stakeholders to balance technical requirements, clear project roadblocks, and participate actively in design reviews
• Identify and resolve systemic operational bottlenecks, automate processes, and continuously leave codebases cleaner and easier to maintain
• Actively mentor peers, provide insightful code reviews, and help train newer team members on platform architecture

• 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