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Backend Engineer

ExaWizards Tokyo | Remote

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Language
EN: conversational
JP: business
Salary
Employment Type
Full time

Job Description


エクサウィザーズにおけるWebもしくはモバイルアプリケーションの開発を担うポジションです。本人の希望や経験、スキルセットによってTech Leadとして開発のリードや、メンバーのマネジメントを担っていただく可能性もあります。

Responsibilities


  • Develop web application products on top of our machine learning backend

  • Develop core web infrastructure underlying all products (API server, user identity, payments, access control, etc.)

  • Architect, design, and implement end-user branded web applications

  • Depending on the product's phase - work on the front-end development

  • Other activities (recruiting, marketing, etc.) depending on your interests

Qualifications


  • Web App development experience of more than 3 years

  • Strong knowledge of languages and frameworks such as Python, TypeScript, React, Node.js

  • Extensive experience and knowledge of web application development

  • Strong knowledge of cloud infrastructure and databases

  • Strong knowledge of algorithms and data structures

Nice-to-haves


  • Experience with working at startups

  • Strong work initiative

  • Excellent track record in competitive programming (above blue color @AtCoder)

  • Familiar with Modern Languages/Frameworks(Golang, Elixir, etc.)

  • Experience with Agile/Scrum software development

  • Intermediate or higher Japanese language proficiency level

About ExaWizards


ExaWizards is an AI start-up with a simple mission: solve social issues using AI and create a happy society. But to achieve it, they’re tackling issues across a wide variety of industries: Care tech, HR, fintech, medicine, security, and more. They believe AI can help solve problems in all these areas, and they’re determined to do just that. Their business model can be broken into two different flows: project-focused and product-focused. For project-focused initiatives, they start from scratch. Their ML engineers and consultants identify business problems and build models aimed at solving them. In their product flow, they take the ML models developed for specific problems and generalize them to be useful for a wider array of problems. Normally they develop these solutions into SaaS products.