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求人Ramp

Software Engineer, Financial Systems

Ramp

Software Engineer, Financial Systems

Ramp

New York, NY (HQ)

·

On-site

·

Full-time

·

2mo ago

福利厚生

Equity

Healthcare

Learning

必須スキル

PostgreSQL

Python

JavaScript

About Ramp

At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it.

Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 50,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year.

Ramp’s investors include Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.

Ramp has been named to Fast Company’s Most Innovative Companies list and LinkedIn’s Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.

About the Role

We’re building the mission critical financial infrastructure that powers Ramp - a system of record that connects our products, data, and reporting into a single, trusted view of how the company performs. This is foundational systems work that ensures financial accuracy and visibility across the business globally, from tracking spend and revenue to forecasting, reconciliation, and reporting.

You’ll design and build durable, auditable infrastructure that blends data modeling, orchestration, and finance domain logic at scale. This work sits at the heart of Ramp’s mission and will form the backbone as we expand our product suite and grow internationally.

What You’ll Do

  • Design and build large-scale financial systems that handle high volumes of transactional data with correctness and precision

  • Create robust and extensible data models and orchestration logic for ledgering, reconciliation, and financial reporting systems

  • Partner directly with our CFO and finance leadership to translate business requirements into technical specifications

  • Build systems that maintain auditability, data integrity, and regulatory compliance across our expanding product ecosystem

  • Work on complex problems involving distributed systems, event-driven architectures, and financial data at scale

  • Collaborate with engineers who care deeply about correctness, reliability, and elegant system design

What You Need

  • 3-5 years of backend engineering experience with expertise in building data-intensive systems

  • Strong Python experience (ideally as your primary language)

  • Deep SQL knowledge and experience working with complex data models

  • Proven system design skills - you can take high-level requirements and architect scalable, maintainable solutions

  • Experience thriving in startup-like environments with high ambiguity and requiring independent problem-solving

  • Comfortable working flexibly across the stack - equally at home prototyping analyses in a Jupyter notebook and implementing production backend endpoints

  • Track record of building reliable, well-tested systems where correctness matters

Nice to Have

  • Experience with financial data (banking, payments, card transactions, trading/exchange data)

  • Familiarity with accounting concepts and ledgering systems

  • Experience with distributed systems technologies (e.g., Kafka)

  • Background in fintech products (billing, cards, payments, reconciliation)

  • Experience working closely with internal stakeholders and translating business needs into technical solutions

  • Experience with workflow orchestration tools like Temporal or Airflow

Benefits (for U.S.-based full-time employees)

  • 100% medical, dental & vision insurance coverage for you

  • Partially covered for your dependents

  • One Medical annual membership

  • 401k (including employer match on contributions made while employed by Ramp)

  • Flexible PTO

  • Fertility HRA (up to $10,000 per year)

  • Parental Leave

  • Unlimited AI token usage

  • Pet insurance

  • Centralized home-office equipment ordering for all employees

  • Health and Wellness stipend

  • In-office perks: lunch, snacks, drinks, and more

  • Budget for intra-office travel

  • Relocation support to NYC or SF (as needed)

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Ramp Applicant Privacy Notice

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Rampについて

Ramp

Ramp

Series C

The corporate card that helps you spend less.

501-1,000

従業員数

New York City

本社所在地

$8.1B

企業価値

レビュー

4.2

15件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.5

キャリア

3.7

経営陣

3.5

70%

友人に勧める

良い点

High total compensation packages

Strong equity/RSU offerings

Good career growth potential

改善点

Uncertain liquidity timeline for equity

Limited information about company culture

Unclear career advancement paths

給与レンジ

216件のデータ

L4

Mid/L4

L4 · Product Designer

0件のレポート

$190,000

年収総額

基本給

-

ストック

-

ボーナス

-

$161,500

$218,500

面接体験

3件の面接

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Interview

5

Onsite/Virtual Interviews

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience