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DevOps / Platform Engineer

HOMEKYND · United States

Retail Furniture and Home Furnishings · 2-10 employees

4 d ago
Remote Senior (5-10 yrs) Full-time United States
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About the role

Architect and manage scalable cloud infrastructure and CI/CD pipelines for a 3D rendering platform. Monitor performance metrics and optimize MongoDB databases to ensure enterprise-scale reliability and asset delivery.

What they look for

AWS GCP Azure Node.js Terraform Pulumi New Relic Prometheus MongoDB CI/CD Kubernetes Microservices Architecture CDN Integration Infrastructure as Code 3D Rendering Pipelines Cloud Infrastructure

Requirements

Requires over 5 years of experience managing production infrastructure with expertise in major cloud providers and Node.js optimization. Proficiency with infrastructure-as-code tools and monitoring systems is essential.

Full description

DevOps / Platform Engineer

Homekynd is building the spatial intelligence layer for enterprise retail. Our platform transforms

photos into 3D room models and powers immersive furniture visualization at scale, deployed in

physical retail stores and embedded across enterprise ecommerce. We're a remote-first team

on a fast build timeline, and we need engineers who want real ownership over hard problems.

As DevOps / Platform Engineer, you'll own the infrastructure that keeps the platform running at

enterprise scale. Thousands of endpoints, real-time 3D asset delivery, contractual uptime

requirements - this is infrastructure work with real stakes and direct business impact.

What you'll do

  • Architect and manage scalable cloud infrastructure for the 3D rendering platform
  • Build and maintain CI/CD pipelines with a focus on quality assurance and deployment

reliability

  • Monitor performance metrics and proactively address bottlenecks before they become

incidents

  • Scale and optimize MongoDB databases to handle growing user demand
  • Build and maintain pipelines for delivering optimized 3D assets at scale

What we're looking for

  • 5+ years managing production infrastructure at scale
  • Strong expertise across AWS, GCP, or Azure
  • Proven experience optimizing Node.js applications in production
  • Familiarity with infrastructure-as-code tools such as Terraform or Pulumi
  • Strong command of monitoring and logging systems (New Relic, Prometheus, or

equivalent)

Bonus

  • Prior experience optimizing 3D processing pipelines or CDN integration
  • Familiarity with microservices architecture and container orchestration (Kubernetes)