Inactive
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Instabase

Enterprise data automation for unstructured data

Software Engineer – Intern - Backend

Software EngineeringPosted on Sep 9, 2022
InternshipMenlo Park, CA, USANo salary listed

About the Job

Requirements

  • Enrolled in a Bachelor's, Master's, or PhD program studying Computer Science, Human Computer Interaction, Applied Mathematics, Computer Engineering, or a degree in a related field
  • Preferred graduation date between December 2023 - June 2024
  • Proficient in one of more of the following languages: Python, Go, Java, and/or C++
  • Knowledge and interest in one or more of the following: Cloud Services, Web Toolkits, File Systems, Database Systems, and Machine Learning
  • Solid communication and collaboration and a strong eagerness to learn

Responsibilities

  • Partner alongside other interns and full-time team members to design and develop a distributed operating system platform that powers Instabase's services and applications
  • Work across a wide array of services that comprise the core components of the operating system, including file services, database storage, access control, account management, authentication, encryption, search and more
  • Develop new features that can be leveraged by the other Instabase teams to develop apps and solutions
  • Enable front-end engineers to develop the Instabase UI around the platform
  • Build and scale a backend infrastructure that can run millions of tasks on thousands of machines with reliable SLA guarantees. You'll work closely with other engineers in designing the infrastructure as well as interfaces for new applications

About the Company

Instabase

Enterprise data automation for unstructured data

Instabase provides an enterprise platform that converts large amounts of unstructured data into actionable insights using configurable toolkits and building blocks to assemble end-to-end data workflows. Data such as invoices, contracts, and applications are processed with cognitive understanding and can be deployed on-premises or in private clouds. It competes by offering enterprise-first architecture and extreme configurability that supports scalable, isolated deployments instead of being limited to one cloud. Its goal is to help large organizations automate data processing, improve productivity, and reduce operating costs through configurable automation.

Company size
51-200
Company stage
Series D
Total funding
$277M
Headquarters
San Francisco, CA
Founded
2015

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