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Job Details

Skills

Backend Infrastructure Engineering
AWS/GCP
Docker & Kubernetes
Terraform (Infrastructure as Code)
Multi-Tenant Architecture
Production Infrastructure
Backend System Ownership
AI Coding Tools

Summary

Job Title: Backend Engineer (Infra)

Location: Brooklyn, NY

Full-time On-Site

Description

Client is an AI talent matchmaking company based in NYC. The big idea is building an agent ecosystem for talent, where every person has an agent representing them, and every company has an agent that actually knows what it needs, so the two can talk directly instead of relying on resumes and job descriptions that lose most of the real signal along the way.
Notes: ask candidate to share GitHub profile

Experience

3 - 6 years of experience in backend/infra engineering
Built and maintained production infrastructure at scale with high ownership
Managed multi-tenant deployments and large-scale data in a production environment
End-to-end ownership of backend systems — not just contributed to a larger team's infrastructure

Education

CS, computer engineering, or equivalent technical degree
Must have AWS or Google Cloud Platform production experience with containerized deployments (Docker, Kubernetes, or Fargate)
Infrastructure-as-code experience (Terraform or similar)
Uses AI coding tools (Cursor, Copilot, etc.) in daily workflow

Nice to have

Founding engineer or early engineer at a startup (Series A/B or earlier)

Project Description

We are looking for a Backend Infrastructure Engineer with 3–6+ 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 will you 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

Interview:

30 mins with CTO
60 mins with Co-founder
On-site: Founder Roundtable & Team Meet (60 minutes)
On-site: Technical Decomposition

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91081631
Position Id: 7711-22658-
Posted 6 days ago

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Backend Engineer (Infra) (Full-time On-Site)

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Backend Engineer (Infra) (Full-time On-Site)

Job Details

Skills

Summary

Dice Job Match Score™

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