DevOps / Platform Engineer

HOMEKYND HOLDINGS, INC.
United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

3D Rendering Amazon Web Services Microsoft Azure Databases DevOps MongoDB Node.Js Prometheus Pulumi Kubernetes Infrastructure Automation Frameworks Performance Monitor
+4 more
Terraform New Relic (SaaS) Data Pipelines Microservices

Job description

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

Requirements

  • 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)

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