Devops / Platform Engineer
Onramp
| Company | Onramp |
| Category | Engineering |
| Location | Boston |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 9 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT ONRAMP
OnRamp transforms B2B customer onboarding into a revenue driver. Our platform automates workflows, streamlines playbooks, and accelerates time-to-value, helping enterprises reduce onboarding time by up to 70%. Backed by leading investors (we just raised our $15M Series A) and trusted by Fortune 15 companies, we’re redefining how companies bring new customers online.
We’ve built the system of record for post-sale workflows, powering onboarding and expansion for enterprise customers including Fortune 15 companies. Now we’re evolving that foundation into something much bigger: an intelligent system that actually does the work.
We’re building an agentic platform that eliminates friction in the B2B customer relationship.
THE ROLE
We’re hiring an engineer to own our infrastructure — the AWS platform, deployment systems, and tooling that lets a small, elite team ship at the pace of a much larger one.
This is a high-impact individual contributor role reporting directly to our Head of Engineering. You’ll have end-to-end ownership of how our software is built, deployed, secured, and operated — including the infrastructure behind our AI agents. And like everyone on this team, you’ll use AI itself as a core tool of the trade: agents and LLM tooling for solving infrastructure problems, not just supporting them.
We’re deliberately not posting a checklist of certifications and years of experience. We care about what you can build and run, not what your last title was — we’ll calibrate level, scope, and compensation to you.
WHAT YOU’LL DO
- Own our AWS infrastructure end to end: architecture, infrastructure-as-code, networking, cost, and scale
- Build the CI/CD and deployment systems that let engineers ship to production many times a day with confidence
- Attack DevOps problems with AI: use coding agents and LLM tooling to write and refactor infrastructure code, debug incidents, automate runbooks, analyze logs, and systematically eliminate toil
- Build the infrastructure behind our AI: agent execution environments, LLM observability, evaluation pipelines, and the plumbing that makes agentic features reliable in production
- Own observability, reliability, and incident response — enterprise customers depend on us, and you’ll keep the platform worthy of that trust
- Strengthen our security and compliance posture (we’re SOC 2 and HIPAA compliant) as we move upmarket
- Multiply the team: build paved roads, automation, and AI-powered tooling that make every engineer here faster
WHO YOU ARE
- Deep, hands-on AWS experience — you’ve designed, built, and operated production infrastructure that real businesses depend on
- Fluent in infrastructure-as-code (Terraform, CDK, or similar) and modern deployment practices: containers, CI/CD, zero-downtime releases
- You already build with AI. Coding agents and LLM tools are part of how you write IaC, investigate incidents, and automate operations — and you’re constantly finding new ways to apply them
- You reach for AI before you reach for toil: when you see a recurring problem, your instinct is to build an agent or automation that solves it permanently
- A security mindset by default — you’ve supported or driven compliance efforts like SOC 2 or HIPAA, or you’re ready to own that surface
- A builder at heart — comfortable writing real software, not just configuration
- High ownership and pragmatic — you measure yourself on the team’s velocity and the platform’s reliability, not the number of fires fought
WHAT MAKES THIS ROLE UNIQUE
- Greenfield ownership: define the platform for an AI-first company at exactly the stage where your decisions compound
- Infrastructure for agents is a new discipline — you’ll be inventing practices, not following a runbook
- Your leverage is the whole team’s velocity: on a lean team, great platform work is visible immediately
LOCATION & HOW WE WORK
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