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Jobs(26,569)/Platform Engineer Role(382)/OnRamp (1) - Devops / Platform Engineer
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OnRamp

OnRamp - Devops / Platform Engineer

Remote - Boston, Massachusetts, United States+ Equity3d ago
RemoteNACloud ComputingArtificial IntelligencePlatform EngineerAWSTerraformCDKCompound

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 • 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 • We’re a Boston-centered engineering culture — our home base is a top-floor office in Fort Point, and we do our best work when we can get in a room together. We prefer candidates local to Boston who want to be in the office a couple of days a week. That said, for the right person, we’re open to remote.

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

• Build a category-defining agentic platform used by enterprise and mid-market clients, including Fortune 15 companies • Small team, huge surface area — high ownership, low bureaucracy, and your work ships to real customers fast • An AI stipend for tools, subscriptions, and experiments that help you work smarter • Highly competitive cash compensation, equity with real upside at our stage, and comprehensive benefits: health, dental, and vision; unlimited PTO; paid parental leave; 401(k); and education and wellness stipends

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