Software Engineer, Production Engineering

Software Engineer · Senior · Full Time

New York, NY (HQ)USD 168k – 325k3mo ago
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Role

What you'll do.

Ramp is seeking a Production Engineering Software Engineer to build and operate critical infrastructure for their financial technology platform. The ideal candidate will be a full software engineer specializing in infrastructure, responsible for driving architectural changes, partnering with product teams, and enabling scalable, reliable systems that support Ramp's mission of transforming business finance operations.

Responsibilities

  • Infrastructure Development: Build and operate critical infrastructure across compute, storage, messaging, and observability systems
  • Architectural Leadership: Drive transformative architectural changes with comprehensive problem-solving approaches
  • Cross-Team Enablement: Partner with product teams to review architectures and establish scalable engineering patterns
  • Reliability Engineering: Proactively identify and eliminate systemic infrastructure challenges
  • AI Infrastructure: Design and implement infrastructure patterns to support AI-powered product development

Qualifications

What we look for.

Technical

  • System Architecture

    Deep understanding of distributed systems design and scalability patterns

  • Infrastructure Automation

    Proficiency in Infrastructure as Code and automated deployment strategies

  • Performance Optimization

    Ability to diagnose and resolve complex performance and scalability challenges

Education

  • Computer Science

    Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred

  • Continuous Learning

    Demonstrated commitment to ongoing technical skill development and industry awareness

Experience

  • Production Engineering

    2+ years of software engineering experience with critical systems infrastructure

  • Cross-Team Collaboration

    Proven track record of leading technical initiatives across multiple engineering teams

Skills

Required

  • Distributed Systems

    Hands-on experience with production-scale distributed systems architecture

  • Cloud Infrastructure

    Expertise with major cloud providers, preferably AWS

  • System Reliability

    Strong understanding of observability practices, SLOs, and infrastructure reliability

  • Software Engineering

    Ability to write clean, well-tested, production-ready code

  • Technical Leadership

    Experience leading technical projects end-to-end with cross-team coordination

Preferred

  • Cellular Architecture

    Nice to have

    Experience with multi-tenant or cellular architecture patterns

  • Workflow Orchestration

    Nice to have

    Knowledge of systems like Temporal, Airflow, or Celery

  • Fintech Experience

    Nice to have

    Background in financial technology, payments, or regulated industries

  • Platform Engineering

    Nice to have

    Contributions to developer experience or internal platform tooling

Tech stack

Languages

PythonGo

Frameworks

TerraformKubernetes

Databases

PostgreSQLRedis

Tools

AWSPrometheusGrafana

Other

CI/CDAI Engineering Tools

Compensation

Pay and benefits.

Base·USD 168,000 – 324,500

Equity·Stock options

Benefits

  • Healthcare

    100% covered medical, dental, and vision insurance with One Medical membership

  • Retirement

    401k with employer matching contributions

  • Flexibility

    Flexible PTO and hybrid work arrangement

  • Family Support

    Fertility HRA up to $10,000 and comprehensive parental leave

  • Professional Development

    Unlimited AI token usage and home office equipment support

  • Wellness

    Health and wellness stipend with additional in-office perks

Process

Interview steps.

  1. 01

    Initial Screen

    Phone or video call with recruiting team to assess basic qualifications and cultural fit

  2. 02

    Technical Phone Interview

    Deep dive into technical background, problem-solving approach, and infrastructure expertise

  3. 03

    Systems Design Challenge

    Architectural design exercise demonstrating distributed systems thinking

  4. 04

    Onsite Interview

    Full-day interview with multiple team members, including technical and cultural assessments

  5. 05

    Final Leadership Review

    Final discussion with senior engineering leadership

Full posting

Original listing.

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 $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.

About Production Engineering

Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them.

A few things that define how we operate:

  • One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.

  • If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack.

  • We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed.

  • We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.

  • We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters.

You cannot build the future of finance on shaky infrastructure.

Our Teams

Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.

Right now, we operate across four areas:

  • Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale

  • Storage — databases, caching, object storage, and the data infrastructure that underpins everything

  • Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture

  • Internal Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs

What You'll Do

Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.

Day to day, you will:

  • Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.

  • Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.

  • Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.

  • Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.

  • Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.

  • Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.

  • Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.

  • Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.

What We Look For

We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team.

The mindset we're looking for:

  • You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem.

  • You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job.

  • You move with urgency but without chaos. You know when to go fast and when to slow down and do it right.

  • You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win.

  • You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one.

  • You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am.

Experience profile:

  • 2+ years of software engineering experience shipping high-quality architectures for critical systems

  • Strong software engineering fundamentals — you write clean, well-tested, production-ready code

  • Hands-on experience with distributed systems at production scale

  • Experience with at least one major cloud provider (AWS preferred)

  • Familiarity with observability practices (SLOs, error budgets, alerting, dashboards)

  • Track record of leading technical projects end-to-end, including cross-team coordination

  • Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — we expect our engineers to leverage these tools to move faster and think bigger

Bonus (not required):

  • Experience with cellular or multi-tenant architecture patterns

  • Prior work on workflow orchestration systems (Temporal, Airflow, Celery)

  • Contributions to developer experience or internal platform tooling

  • Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2)

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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