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Infrastructure Engineer (Backend Engineer)

Dimension ConsultingNew York, NY🇺🇸United StatesPosted 3 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Infrastructure Engineer (Backend Engineer) Brooklyn, NY (Full-Time) 
Full Job Description & Hiring Brief
Role Overview
We are looking for a Backend Infrastructure Engineer with 10+ years of experience to own and scale the core infrastructure powering  client’s enterprise product. You''ll be one of the first engineering hires at a freshly funded ($4M seed) AI-native startup building the context layer for human work managing multi-tenant deployments, handling 800M+ rows of data, and making architectural decisions that define the platform.
What You''ll Be Doing
  • Optimizing and hardening the existing AWS-based product infrastructure to support rapid scaling of customer deployments.
  • Building and maintaining multi-tenant deployment architecture managing permissioning, data isolation, and redeployability across enterprise customers.
  • Owning the infrastructure-as-code layer (Terraform, Kubernetes, Docker) and making decisions on what services and patterns enable easier scaling.
  • Building new features and capabilities as signal comes in from design partners.
  • Encoding learnings from bespoke customer deployments back into the core product.
Role Details
Equity: Competitive
On-site Work Policy: 5 days in-office in Dumbo, Brooklyn, NY
Employment Type: Full-time
Hiring Count: 1 candidate
Location: Dumbo, Brooklyn, NY
Tech Stack: AWS, Terraform, Kubernetes, Docker, Python, TypeScript, LangChain
Candidate Requirements
  • Experience with AWS or Google Cloud Platform, Infrastructure as Code (Terraform / AWS CDK), and managing production systems.
  • Intellectual curiosity, strong ownership, and clear communication of past work are critical.
  • Genuine interest in the company''s mission and technical challenges, not just the role.
Note: Related Open Role — Backend Agentic Engineer
Client is also hiring a Backend Agentic Engineer with similar experience/compensation, but is open to exceptional candidates with less experience given the AI focus. That role centers on building consumer-facing systems with agent-to-agent interactions and context-capturing capabilities, with AI expertise and consumer product development experience highly valued (distinct from this Infra role, but useful context when sourcing/screening for Peri broadly).
Rejected Candidate Feedback (Patterns to Avoid)
  • Insufficient evidence of high-ownership work on production-grade, multi-tenant deployments with AWS/Google Cloud Platform and Terraform/Kubernetes.
  • Lack of startup experience demonstrating rapid scale and infrastructure-as-code mastery.
 
 

Skills

Docker
AWS
CDK
Google Cloud
Kubernetes
LESS
Python
Terraform
TypeScript

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