Build web applications and APIs for a manufacturing data-analysis SaaS, from requirements through launch, while improving performance and architecture. The role allows four remote days each week.
About this role
This Web Application Engineer role develops Tebiki’s video-based education SaaS for deskless workers in manufacturing, logistics, construction, factories, warehouses, restaurants and hotels. The product addresses training and knowledge-transfer challenges associated with person-dependent on-the-job training. Tebiki also describes a manufacturing field-reporting DX SaaS, while this position primarily supports the education product. Planned development areas include improving the video-editing experience and creating new features using AI technology.
The engineer leads product development decisions with ownership across the full development cycle, from specification planning to launch. Responsibilities include planning and adding product features, defining requirements, designing, developing and testing web applications and APIs, measuring and improving application performance, designing the architecture including technology selection, and resolving technical debt. The role’s mission is to use technology to solve customer problems and improve product quality and value. The scope and balance of responsibilities may be adjusted according to the person’s experience.
The engineer works closely with designers and QA engineers and takes the lead in development work that includes design and testing. The development process uses Scrum and repeats improvement releases on a weekly basis. Pair programming and code reviews are part of the described development environment. The role also includes participation in decisions about product direction and room to work on technical improvements and technical-debt reduction. The posting does not state a formal education requirement or a minimum number of years of experience.
The named technical environment includes Ruby, TypeScript and Go; Ruby on Rails and Vue.js; Aurora MySQL and BigQuery; AWS and Docker; GitHub for source-code management; Slack for communication; and Terraform, Datadog and GitHub Actions.
The stated workplace is in Nishi-Shinjuku, Shinjuku, Tokyo, at Nishi-Shinjuku Prime Square 8F. It is approximately 10 minutes on foot from Shinjuku Station, four minutes from Seibu-Shinjuku Station, six minutes from Okubo Station and eight minutes from Shinjuku-nishiguchi Station. Up to four days of remote work per week are permitted, and the development machine can be selected freely. The premises include an area where smoking is permitted.
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