Devops / Platform Engineer

OnRamp • Boston, MA

5d • Hybrid

About The Position

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.

Requirements

• 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

Responsibilities

• 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

Benefits

• health, dental, and vision
• unlimited PTO
• paid parental leave
• 401(k)
• education and wellness stipends
• An AI stipend for tools, subscriptions, and experiments that help you work smarter

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed