Software Engineer, Infrastructure

Ramp
New York, NY (HQ)Up to $10kPosted 7 April 2026

Job Description

Software Engineer, Infrastructure 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 the Role Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! They are highly cross-functional, and eager to solve a wide range of engineering challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling it 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. Our ideal candidate possesses a deep knowledge of AWS, or an equivalent cloud provider and will assist in constructing the upcoming versions of our database infrastructure. They have been accountable for deploying production databases and have experience handling scale, concurrency, fault tolerance, and idempotency. They exhibit a strong sense of ownership, promptly addressing high-urgency issues, and they also mentor and foster the growth of every other team member. What You’ll Do - Influence and implement the next generation of Ramp's database, real-time queue, or container orchestration infrastructure - Work across our engineering organization to introduce and scale best practices with cloud-native technologies like Cloudflare, Amazon ALB, Service Discovery, ECS/EKS, Celery, Kafka, Amazon Aurora PostgreSQL, Elasticache Redis, and S3 - Build abstractions within Terraform to simplify the architecture and increase velocity and ownership - Find solutions to Ramp's toughest scaling, performance, and low latency problems - Participate in an On Call rotation to solve critical production events What You Need - 2+ of experience shipping high-quality architectures for critical systems preferred - Production experience in AWS, GCP, or Azure - An ability to think through customer requirements and come up with high-impact ways to quickly solve their problems - Expertise in a production deployment of Infrastructure-as-Code i.e. Terraform - Proficiency in an object-oriented programing language - Deep experience in one of the following: - Large-scale SQL database administration (e.g. PostgreSQL, MySQL) - Real-time queue systems (e.g. Kafka, Celery, SQS, Temporal) - Container Orchestration/Web Server Administration (ECS/Kubernetes, Load Balancing, Gunicorn, Flask) 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 N ... (truncated, view full listing at source)
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