All interviews
Ramp logo

Ramp

Mid

Software Engineer, Engineering Platform at Ramp — building the tooling that lets 300+ engineers (and AI agents) ship safely and fast

Ramp's Engineering Platform team builds the developer workflows, CI/CD, and codebase architecture that let 300+ engineers move fast without breaking things, now expanding into systems that let engineers and AI agents collaborate on Ramp's Python monolith. This interview centers on self-directed platform work — finding high-leverage problems without a handed-down roadmap, shipping paved paths, and proving adoption — plus systems thinking across CI/CD, testing, reliability, and large-scale codebase architecture.

Step into this interview

Free · a live voice mock calibrated to this exact role

Practice this interview

What this interview tests

  • Self-directed platform work: finding and validating high-leverage engineering problems without a roadmap
  • CI/CD, testing infrastructure, local dev, and deploy workflow design
  • Large-scale codebase/monolith architecture, modularity, and maintainability
  • Building paved paths and reusable systems that engineering teams actually adopt
  • Designing for agentic development: guardrails, orchestration, and workflows for AI agents alongside engineers
  • Driving tradeoffs and ownership under ambiguity

Common question themes

Tell me about a developer productivity problem you found and fixed without being asked

How do you validate that a platform investment is actually adopted, not just shipped

Describe a paved path or reusable system you built for a high-frequency engineering task

How would you design guardrails so AI agents can safely make production changes

Walk me through a time you improved reliability or performance across a large codebase

How do you decide what to build yourself versus have teams solve on their own

View the original posting

Related interviews