Level

Ramp

Backend Engineer, Ops Engineering

Ramp is hiring a Backend Engineer, Ops Engineering for a remote role open to applicants in United States. It pays $168k-$285k a year and Level rates it ; you can apply on Ramp.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • The listed pay starts close to the typical software engineer posting on Level.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include LLM integration and AI automation.
  • Level lists 166 other open roles at Ramp.

AI in this role

llm-integrationai-automation
About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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.

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 available to all full-time Ramp employees (Global)

  • Flexible PTO

  • Centralized home-office equipment ordering

  • Health and wellness stipend

  • Budget for intra-office travel

  • Weekly coffee stipend

United States

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

  • One Medical annual membership

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

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

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

  • Pet insurance

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

  • Relocation expense coverage to NYC or SF (if needed)

Canada

  • Group medical, dental, and vision coverage through Sun Life

  • Life, AD&D, and disability coverage

  • Fertility drug coverage (up to $4,000 lifetime)

  • Group Retirement Plan with employer match (RRSP + DPSP)

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

  • Employee Assistance Program and virtual care through Lumino Health

United Kingdom

  • Private medical insurance through Freedom Elite

  • Virtual GP and at-home care via eMed x Livi

  • Workplace pension through Penfold, with salary sacrifice option

  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

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.

 

Ramp Applicant Privacy Notice

How we rate this

Backend Engineer, Ops Engineering at Ramp rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationAI Automation

Also common in software engineer jobs at this level

Pay

This job starts at
$168k
Typical software engineer job
$168k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. Tell me about a workflow you automated with AI tools, end to end.

Adapt your resume

  • List these exact terms on your resume: LLM Integration and AI Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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