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# Devops / Platform Engineer

- **Company:** Onramp Access, LLC
- **Location:** Boston, MA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Software Debugging, DevOps, Log Analysis, Evaluation Pipelines, Large Language Models, AI Coding Agents, Juniper, Agentic-AI, Terraform, Code Restructuring
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/devops-platform-engineer-boston-ma--a15da4ce-fcfe-484e-9716-d0a32a22cafd

## About the Role

DevOps, Onboarding, Business-to-Business (B2B), Juniper Networks M-Series, Time Management, Post-Sales, Customer Relations, Machine Tool, Amazon Web Services (AWS), Technical Recruiting, * 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

## Description

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., * 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, * 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