Software Engineer, Production Engineering

Ramp Ramp · Fintech · New York, NY · Engineering

Software Engineer, Production Engineering at Ramp, a fintech company building financial infrastructure. The role involves building and operating critical infrastructure (compute, storage, messaging, observability), driving architectural change, partnering with product teams, enabling AI-native engineering, building developer tooling, and participating in on-call rotations. The role emphasizes full software engineering ownership of infrastructure systems.

What you'd actually do

  1. Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
  2. Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
  3. Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
  4. Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
  5. Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.

Skills

Required

  • production code
  • system ownership
  • infrastructure development
  • architectural design
  • collaboration
  • problem-solving
  • incident management
  • developer tooling

Nice to have

  • AI infrastructure patterns
  • cellular architecture
  • FedRAMP
  • enterprise SLAs

What the JD emphasized

  • own systems end-to-end
  • drive technical outcomes
  • reliability
  • scalability
  • own it
  • go first
  • go fast
  • lead the way
  • stay calibrated
  • regulated environments
  • enterprise-grade SLAs
  • AI-native engineering