Software Engineer, Engineering Platform

Ramp•New York, NY

20h•Onsite

About The Position

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

Requirements

You think in systems: you understand how a 400-connection pool cap, a Redis replica for feature flag cache warmup, and a Cloudflare worker change interact under load
You've built and operated CI/CD infrastructure, developer tooling, or platform systems at meaningful scale
You're comfortable diagnosing production failures at the infrastructure layer — connection pools, serialization issues, cache misses, distributed timeouts
You have strong opinions about software architecture and don't confuse them for facts — you know when to ship the 80/20 and when to slow down and design it right
You use AI as a force multiplier — coding agents, agentic testing, AI-augmented code review — and you're building the infrastructure that makes that possible, not threatened by it
You care deeply about the reliability of prod, the experience of other engineers, and the quality of what you ship

Nice To Haves

Experience with our stack is a plus: Python, Temporal, Kafka, PostgreSQL, Redis, Buildkite, LaunchDarkly, Datadog, AWS

Responsibilities

Build systems that make 300 engineers faster — merge queues, dev deploys, CI/CD, Smart Reviewer, stack tooling — and own the blast radius when things slow down
Lead important incidents end-to-end: diagnose root cause (DB serialization failures, Redis latency spikes, Temporal timeouts), fix it, write the postmortem, and prevent the next one
Design golden paths for services — API, DB migrations, Kafka, Temporal, secrets — so teams can spin up infrastructure without reinventing the wheel every time
Own the full dev tooling surface: Devportal, Graphite, Buildkite, Inspect, dev deploys, LaunchDarkly, Datadog — and understand how they interact under pressure
Treat the SDLC as a factory: measure PR throughput, CI/CD end-to-end time, and defect rates, then fix the bottlenecks instead of just monitoring them
Turn recurring developer friction — flaky tests, spicy migrations, ECR credential expiry, devtool onboard failures — into one-time fixes, not on-call rituals
Build agent-friendly infrastructure: golden paths, documentation, and tooling so AI coding agents can execute tasks correctly without a human untangling Temporal, migrations, or feature flags
Build AI-native reliability tooling — on-call automation, review agents, autonomous testing — and design clean handoffs from AI investigation to human-authorized action
Think at the system level about tech debt: feature flag cleanup, dead code deletion, punchlist orchestration — because dead code confuses agents and humans equally