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KoiReader Technologies

AI-powered computer vision for logistics

DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Knowledge of cloud architecture concepts, including Infrastructure as a Service, Platform as a Service, and Software as a Service.
  • Knowledge of Kubernetes.
  • Knowledge of Docker and Linux Bash scripting.
  • Knowledge of system security concepts, including Static Application Security Testing, Dynamic Application Security Testing, penetration testing, and vulnerability analysis.
  • Familiarity with version control concepts, including Git.
  • Knowledge of testing principles.

Responsibilities

  • Work with an agile team to set up and configure GitOps (continuous integration and continuous delivery) pipelines on GitLab.
  • Design and develop secure cloud system architectures in accordance with enterprise standards.
  • Package and support the deployment of releases.
  • Analyze and optimize resource consumption of deployments.
  • Integrate tools such as Prometheus, Grafana, and Kibana for application monitoring.
  • Analyze and resolve technical and application problems.
  • Adhere to development principles while delivering solutions on time.

Desired Qualifications

  • Experience with AWS is an added bonus.

About the Company

KoiReader Technologies

AI-powered computer vision for logistics

KoiReader Technologies provides AI-powered vision and automation solutions for logistics, supply chain, and industrial operations. Its core product, the KoiVision Digital Operations Platform, combines machine vision, generative AI, and digital twin tech to deliver real-time operational insights and automate processes in warehousing, yard management, manufacturing, and retail. It uses AutonomousOCR to read and digitize data from freight documents and labels in fast-paced or damaged conditions, running on a cloud-native, containerized microservices architecture. The company differentiates itself with a patented Visual Cognitive Engine (over 18 patents) and partnerships with NVIDIA, Kinetic Vision, and Intel to enable end-to-end digital twins and simulations that optimize operations before deployment, with a goal to increase throughput and reduce manual data entry across complex supply chains.

Company size
51-200
Company stage
N/A
Total funding
$120K
Headquarters
Dallas, TX
Founded
2017

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