Backend Engineer, Ops

Backend Engineer · Senior · Full Time

New York, NY (HQ)USD 168k – 285k4mo ago
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Role

What you'll do.

Ramp is seeking a Backend Engineer for their Ops Engineering team to build internal tools and infrastructure that empower operations teams. The role focuses on full-stack development, AI integration, and creating scalable systems using modern technologies like Python, TypeScript, React, and AWS. Requires 5+ years of experience with strong backend architecture knowledge and AI technology aptitude.

Responsibilities

  • Full-Stack Internal Application Development: Design and build comprehensive internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences
  • Backend Service Architecture: Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance at enterprise scale
  • Third-Party Platform Integration: Build seamless integrations with platforms like Retool, Zendesk, and other operational systems to create unified workflows
  • AI-Powered Automation: Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools
  • Data-Driven Feature Development: Create analytics features and data visualization that provide operations teams with actionable insights and improved visibility into business metrics
  • Cross-Functional Collaboration: Work closely with operations stakeholders to understand pain points, gather detailed requirements, and iterate on solutions that solve real business problems
  • Code Quality and Best Practices: Write clean, maintainable, and well-tested code following software engineering best practices including comprehensive unit and integration testing
  • Engineering Culture Development: Participate in code reviews, mentor team members, and contribute to the growth of engineering culture and technical standards
  • End-to-End Feature Ownership: Own features from initial design through deployment, monitoring, and continuous iteration based on user feedback and performance metrics
  • Production Support and Monitoring: Participate in On Call rotation to resolve critical issues impacting internal users and maintain system reliability

Qualifications

What we look for.

Technical

  • Backend Programming Proficiency

    Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, with demonstrated ability to build production-grade applications

  • Full-Stack Development Experience

    Experience building full-stack applications with modern frameworks including React, Next.js, or similar frontend technologies

  • Backend Architecture Knowledge

    Solid understanding of backend architecture patterns, RESTful API design, microservices, and distributed systems

  • Database Systems Expertise

    Hands-on experience with database systems including PostgreSQL, Redis, and understanding of data modeling and optimization

  • AI Technology Integration

    Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems

  • Cloud Infrastructure

    Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices including containerization and CI/CD pipelines

  • Internal Tooling Platform Experience

    Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is strongly preferred

Education

  • Technical Background

    Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience in software development

Experience

  • Production Software Development

    5+ years of software engineering experience building and shipping production applications at scale

  • Internal Tools Development

    Experience building internal tools or working closely with non-technical stakeholders to understand and solve operational challenges

  • Cross-Functional Collaboration

    Proven track record of working cross-functionally with operations, product, and engineering teams in fast-paced environments

Skills

Required

  • Backend Development

    Expertise in Python, TypeScript/Node.js with 5+ years of production experience

  • Full-Stack Architecture

    Proficiency in React, Next.js, and modern frontend frameworks

  • Database Management

    Strong experience with PostgreSQL, Redis, and database optimization

  • AI Integration

    Demonstrated ability to work with AI technologies and LLM integration

  • API Design

    Deep understanding of RESTful API design and backend architecture patterns

  • Cloud Infrastructure

    AWS experience and modern DevOps practices

  • Product Sense

    Strong product intuition and user empathy for internal tool development

  • Communication Skills

    Excellent verbal and written communication for cross-functional collaboration

Preferred

  • Retool Platform

    Nice to have

    Experience with Retool for building internal dashboards and applications

  • Zendesk Integration

    Nice to have

    Knowledge of Zendesk APIs and custom integration development

  • Fintech Experience

    Nice to have

    Background in financial technology or payment processing systems

  • Startup Environment

    Nice to have

    Experience working in fast-paced startup environments with rapid iteration

  • Mentoring Experience

    Nice to have

    Track record of mentoring junior engineers and contributing to team growth

Tech stack

Languages

PythonTypeScriptNode.js

Frameworks

ReactNext.js

Databases

PostgreSQLRedis

Tools

RetoolZendeskAWS

Other

AI/LLM IntegrationDevOps

Compensation

Pay and benefits.

Base·USD 168,000 – 284,900

Equity·Stock options

Benefits

  • Health Insurance

    100% medical, dental & vision insurance coverage for employee, partially covered for dependents, plus One Medical annual membership

  • Retirement Plan

    401k with employer match on contributions made while employed by Ramp

  • Paid Time Off

    Flexible PTO policy allowing for work-life balance

  • Fertility Support

    Fertility HRA up to $10,000 per year for family planning assistance

  • Parental Leave

    Comprehensive parental leave policy for new parents

  • AI Token Access

    Unlimited AI token usage for professional development and productivity

  • Pet Insurance

    Pet insurance coverage for furry family members

  • Home Office Setup

    Centralized home-office equipment ordering for all employees

  • Wellness Stipend

    Health and wellness stipend for fitness and well-being expenses

  • Office Perks

    In-office perks including lunch, snacks, drinks, and more

  • Travel Budget

    Budget for intra-office travel between company locations

  • Relocation Support

    Relocation assistance to NYC or SF as needed for the role

Process

Interview steps.

  1. 01

    Application Review

    Initial screening of resume and application materials focusing on technical background and relevant experience

  2. 02

    Phone/Video Screen

    30-45 minute conversation with engineering team member to discuss background, motivations, and basic technical concepts

  3. 03

    Technical Interview

    Live coding session focusing on backend development, API design, and problem-solving approach with real-world scenarios

  4. 04

    System Design Interview

    Architecture discussion covering internal tooling design, scalability considerations, and integration patterns

  5. 05

    Cross-Functional Interview

    Discussion with operations stakeholders to assess collaboration skills and product sense for internal tools

  6. 06

    Culture and Values Interview

    Conversation with engineering leadership about engineering culture, values alignment, and career growth aspirations

  7. 07

    Final Interview

    Meet with senior leadership to discuss role expectations, team dynamics, and mutual fit assessment

Full posting

Original listing.

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.

Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences.

Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they're familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are intentionally pushing to use AI to automate workflows end-to-end, reducing manual toil and standardizing patterns across Retool, Zendesk, and our internal APIs.

What You'll Do

  • Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences

  • Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance

  • Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows

  • Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools

  • Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility

  • Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems

  • Write clean, maintainable, and well-tested code following software engineering best practices

  • Participate in code reviews, mentor team members, and contribute to the growth of engineering culture

  • Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback

  • Participate in an On Call rotation to resolve critical issues impacting internal users

What You'll Need

  • 5+ years of software engineering experience building and shipping production applications

  • Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar

  • Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend)

  • Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.)

  • Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems

  • Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems

  • Strong product sense and user empathy, with ability to translate business requirements into technical solutions

  • Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices

  • Excellent communication skills and ability to work cross-functionally with operations, product, and engineering teams

  • Strong sense of ownership and bias toward action, with ability to move quickly and iterate based on feedback

  • Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is a plus

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.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

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