Software Engineer, Engineering Platform

Ramp

Remote

Quick summary

Work type
Remote
Location
New York City, NY
Salary
$246,900–$339,500 / yr
Posted
48 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $293k
$113k most similar roles pay here $364k

This role pays more than 99% of similar roles. Most pay $137,500–$210,112 — the shaded band above. At the midpoint, this role pays about $293k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Ramp

Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management

Ramp currently has 28 open roles on FindRole.

Listed pay typically runs $168,000–$290,300 across 28 roles with salary data.

Most-posted roles

View all roles at Ramp

At a glance

TL;DR · Software Engineer, Engineering Platform

As a senior platform engineer on Ramp’s Engineering Platform team, you will collaborate with over 300 engineers to enhance development workflows across CI/CD, testing, local development, code review, and remote environments. Your role involves designing paved paths for high-frequency tasks such as service creation and migrations while improving the modularity, performance, reliability, and maintainability of Ramp’s Python monolith and database systems. You will identify repetitive or error-prone workflows to automate them, ensuring engineers and AI agents can work more efficiently. The ideal candidate has experience building and leading improvements in developer tooling, CI/CD, test infrastructure, service frameworks, and large-scale codebase architecture, with a strong understanding of system design across code, infrastructure, reliability, performance, and people dynamics.

What you'll do

  • Improve Ramp’s CI/CD and testing workflows to enhance developer efficiency.
  • Design paved paths for high-frequency engineering tasks, ensuring reliability and safety.
  • Enhance modularity and maintainability of Ramp’s Python monolith and internal libraries.
  • Build automation tools that help engineers and AI agents complete tasks more safely.
  • Turn recurring friction points into reusable systems adopted by development teams.

What we're looking for

  • Experience in improving CI/CD, testing, and local development workflows.
  • Proven ability to design paved paths for high-frequency engineering tasks.
  • Background in enhancing modularity, performance, reliability, and maintainability of large codebases.
  • Skill in identifying and automating repetitive or error-prone engineering workflows.
  • Capacity to turn recurring friction points into adoptable systems and defaults.
  • Experience in building and leading improvements to developer tooling and infrastructure.

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