INV Technologies is a prominent company that combines world-leading AI technology with global talent to drive enterprise AI adoption and transformation across industries. They specialize in process automation, building and refining AI models, and improving operational efficiency with their integrated platform. Their agents are highly educated, with a significant percentage holding advanced degrees, and they offer expertise in numerous coding languages and cultural diversity. INV Technologies partners with successful companies to optimize processes, save time, and generate impressive returns on investment across various sectors, including eCommerce, financial services, and healthcare. The company is recognized for its rapid growth, ranking among the fastest-growing AI companies in multiple industry lists.
INDUSTRIAL ROBOTICS β’ R & D(ELECTRONICS β’ EMBEDDED SYSTEMS β’ AUTOMOBILES) β’ INDUSTRIAL AUTOMATION
November 7, 2024
INV Technologies is a prominent company that combines world-leading AI technology with global talent to drive enterprise AI adoption and transformation across industries. They specialize in process automation, building and refining AI models, and improving operational efficiency with their integrated platform. Their agents are highly educated, with a significant percentage holding advanced degrees, and they offer expertise in numerous coding languages and cultural diversity. INV Technologies partners with successful companies to optimize processes, save time, and generate impressive returns on investment across various sectors, including eCommerce, financial services, and healthcare. The company is recognized for its rapid growth, ranking among the fastest-growing AI companies in multiple industry lists.
INDUSTRIAL ROBOTICS β’ R & D(ELECTRONICS β’ EMBEDDED SYSTEMS β’ AUTOMOBILES) β’ INDUSTRIAL AUTOMATION
β’ Principal engineers follow multiple paths, some are technical leads managing people\nβ’ Other principal engineers lead technical initiatives overseeing multi-team projects
β’ A strong understanding of cloud architecture including major providers (AWS, GCP, etc)\nβ’ Understand underlying networking and security considerations when developing deployment environments\nβ’ Strong understanding of authentication and authorization frameworks such as IAM, Security Groups, RBAC, etc\nβ’ Experience with Kubernetes and able to cite architected or managed deployments\nβ’ Understanding of Kubernetes operating model and design requirements for new application deployments\nβ’ Experience with infrastructure as code tools like Terraform, CloudFormation, Ansible or Puppet
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πΊπΈ United States β Remote
π° Seed Round on 2018-07
β° Full Time
π΄ Lead
β DevOps & Site Reliability Engineer (SRE)
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