1,807,552open jobs
104,170companies
272,902added this week
Browse all
Salary
$168k – $325k per year
Location
Hybrid (New York, San Francisco, United States)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Apr 27, 2026. Ramp scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Ramp is a financial operations and spend management platform designed to help businesses automate finance tasks, control spending, and accelerate month-end close. Founded in 2019 and headquartered in New York City, Ramp provides an all-in-one platform combining modern corporate cards with workflow software.

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 $200B in annualized spend flows in and out of 70,000+ 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)

  • Contributions to developer experience or internal platform tooling

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

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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,807,552 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
New York
In office • Internship • Bachelor's Degree • Moorpark
Python
Java
C++
Bash
DevOps
Git
Windows
Management
Agile
Apply
$87k – $157k per year • In office • Public Trust • Full-Time • 4+ years exp • Bachelor's Degree • Atlanta
JavaScript
AI/ML
Copilot
ChatGPT
DevOps
SOAP
Analytics
Power BI
Management
ServiceNow
Power Automate
SharePoint
Apply
Software Engineer 2 months ago
≈ $102k – $201k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Agoura Hills
Python
C++
DevOps
Jenkins
Git
Linux
Windows
Management
Jira
Apply
$102k – $202k per year • In office • TS/SCI • 2+ years exp • Bachelor's Degree • Washington • Reston
Python
JavaScript
C#
C++
AI/ML
Copilot
OpenAI
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
$87k – $115k per year • Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • Denver
Java
Apex
Apex
MuleSoft
DevOps
Rest API
AWS
SOAP
Apply
In office • Ho Chi Minh City
Python
Bash
Databases
MySQL
Redis
Apache Kafka
AI/ML
Cursor
LangGraph
LangChain
Claude
Claude Code
Langfuse
LiteLLM
MiniMax
OpenAI
Agentic Workflows
DevOps
Terraform
Ansible
GCP
OpenTelemetry
Prometheus
GitLab CI
CI/CD
AWS
Docker
Kubernetes
Nginx
Grafana
Linux
TCP/IP
DNS
Cybersecurity
ISO 27001
Apply
≈ $18k – $45k per year (Estimated) • In office • Ho Chi Minh City
Python
Go
Bash
Databases
ClickHouse
ElasticSearch
Apache Kafka
OpenSearch
AI/ML
llama.cpp
Ray Serve
vLLM
Quantization
AI Agents
SGLang
TensorRT
TensorRT-LLM
LLM
RAG
Ray
KServe
Triton
LLMOps
KV Cache
DevOps
Terraform
GCP
Helm
Loki
OpenTelemetry
Prometheus
Azure
CI/CD
GitOps
ArgoCD
AWS
Kubernetes
Grafana
SLI/SLO/SLA
Linux
Apply
≈ $13k – $39k per year (Estimated) • In office • Ho Chi Minh City
Python
Go
Java
SQL
Java
Spring Boot
Databases
MySQL
RabbitMQ
ActiveMQ
Apache Kafka
OpenSearch
AI/ML
LangGraph
LangChain
Model Context Protocol
Function Calling
AI Agents
CrewAI
LLM
RAG
Google ADK
AWS Strands Agents
A2A
LLM Guardrails
Tool Use
DevOps
Rest API
Jaeger
OpenTelemetry
Prometheus
CI/CD
Git
AWS
Docker
Kubernetes
Grafana
Platform Engineering
Apply
≈ $18k – $44k per year (Estimated) • In office • 4+ years exp • Ho Chi Minh City
Python
SQL
AI/ML
Spark
XGBoost
Scikit-learn
TensorFlow
PyTorch
Machine Learning
DevOps
CI/CD
Apply
≈ $13k – $39k per year (Estimated) • In office • 5+ years exp • Ho Chi Minh City
Java
Java
Spring Framework
Spring Boot
Spring Security
Spring Cloud
Databases
MySQL
PostgreSQL
Redis
RabbitMQ
Apache Kafka
AI/ML
Copilot
Cursor
Claude
ChatGPT
DevOps
GCP
CI/CD
Docker
Kubernetes
Apply
$168k – $330k per year • Hybrid • Full-Time • 5+ years exp • New York
Python
Databases
PostgreSQL
AI/ML
AI Agents
Agentic Workflows
Apply
$168k – $275k per year • Hybrid • Full-Time • 2+ years exp • New York
Python
SQL
Python
Flask
Apply
$200k – $310k per year • Hybrid • Full-Time • 5+ years exp • PhD • New York • San Francisco
Python
AI/ML
AI Agents
Human-in-the-Loop
Apply
$189k – $330k per year • Hybrid • Full-Time • 2+ years exp • New York
Python
AI/ML
Feature Store
Agentic Workflows
Apply
$189k – $330k per year • Remote (United States) • Full-Time • 5+ years exp • New York • San Francisco
Python
Java
DevOps
Terraform
GCP
Azure
AWS
Apply
≈ $51k – $104k per year (Estimated) • In office • Full-Time • Master's Degree • London • New York • Zurich
Python
C++
Apply
$250k – $275k per year • Remote (United States) • Full-Time • 12+ years exp • Bachelor's Degree • New York • Chicago
Apply
$243k – $257k per year • Remote (United States) • Full-Time • 10+ years exp • Bachelor's Degree • New York • Dallas
Management
Microsoft Project
Microsoft Office
Apply
$117k – $146k per year • In office • 12+ years exp • Bachelor's Degree • Rochester • New York
Analytics
Microsoft Excel
Apply
≈ $154k – $274k per year (Estimated) • Remote (United States) • Full-Time • 3+ years exp • New York
Python
SQL
DevOps
IAM
Cybersecurity
SIEM
DLP
Apply
See all jobs
This is one of many
1,807,552 more open roles from verified company boards, updated every day.