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Fingermark

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About

Fingermark specializes in delivering world-class AI and computer vision technology solutions for Enterprise Quick Service Restaurants (QSRs). Their primary goal is to ensure a faster, more accurate experience for customers and staff, thereby maximizing the true potential of restaurants. Their solutions enhance connectivity across various operational aspects, from customer interactions to back-of-house management, facilitating a smooth and uninterrupted experience. Key product offerings include Supersonic , Eyecue , and Supernova CMS. Fingermark is a proud Google strategic business partner and has captured over 300 million customer journeys globally.

Platform
Web
Task
restaurant optimizing

Features

enhanced customer experience

supernova cms

eyecue

supersonic

connectivity solutions for qsrs

faster service delivery

improved operational accuracy

ai and computer vision technology

Job Opportunities

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Fingermark

Senior Platform Engineer

Fingermark is a provider of industry-leading AI and computer vision technology solutions designed to optimize operations for Enterprise QSRs.

engineeringremoteNZfull-time

Benefits:

  • private health insurance

  • extra paid day off for your birthday

  • flexible sick leave policies

  • two weeks of additional paid parental leave

  • focus on career development

Experience Requirements:

  • 5+ years working in infrastructure (SysAdmin, SRE, SysOps roles)

Other Requirements:

  • Confident with Linux and Windows systems

  • Strong Git and version control experience

  • Experience with Infrastructure-as-Code (especially Terraform)

  • Deep understanding of AWS

  • Familiarity with networking protocols and Unifi tools

Responsibilities:

  • Help build the infrastructure powering next-generation computer vision technology

  • Help scale and support Eyecue, Fingermark’s computer vision intelligence platform

  • Build and maintain hybrid infrastructure across cloud (AWS) and on-premise environments

  • Play a key role in enabling seamless deployment across cloud, edge, and extreme edge devices

  • Helping to operationalise computer vision and machine learning at scale

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