職務内容
At CADDi, we have a massive amount of technical drawings, corresponding quotations, along with data describing the required manufacturing processes. By processing these data into a form that is easier to utilize and quickly implementing the cycle of hypothesis testing, we aim to find answers to the problems faced by the manufacturing industry.
Besides what we already have, there is a lot more data out there that hasn’t been fully utilized. Assessing valuable data and preparing it for utilization is the key to taking the burden off this industry.
Responsibilities
Design and implementation of data infrastructureManufacturing cost estimation data
Transaction performance data
Manufacturing control process data
Usage data for various products
Analysis of base data to obtain hypotheses concerning business and operational improvement
Build data processing pipelines in cooperation with algorithm designers
Development Environment
Development languageFrontend: HTML, CSS, TypeScript
Backend: TypeScript, Rust, Kotlin
FrameworksFrontend: React, Apollo, Next.js, styled-components, WebGL, WebAssembly
Backend: Rust (tokio, tonic, diesel), Kotlin (Micronaut, Exposed), Node.js (express, NestJS)
Infrastructure: GCP, GKE
Database: PostgreSQL, Firestore
API: GraphQL, REST, gRPC
Authentication: Auth0
Development tools: GitHub, CircleCI, Figma, Sentry, DataDog, Storybook
Communication tools: Slack, Discord, JIRA, Miro
応募要件
Qualifications
An understanding our mission to unleash the potential of manufacturing
Experience using SQL for analysis
General knowledge of Linux-based infrastructure
General knowledge of public cloud services
Familiarity with container technologies such as Docker
Experience using version control systems such as Git
Proficiency in English
Preferred Qualifications
General knowledge of computer networking
Experience operating container-related technologies such as Kubernetes, etc.
Hands-on experience with declarative infrastructure-as-code technologies (terraform, puppet, ansible, etc)
Experience with cloud providers such as AWS, GCP, or Azure
Experience with data pipeline technologies such as Airflow, Apache Beam, Spark, etc.
Experience monitoring data pipelines with modern solutions such as Datadog, New Relic, Grafana, etc
Experience with production use cases of Elasticsearch
Experience in application development or analysis work with Rust, Python, MATLAB, or R
募集職種 | その他 |
---|---|
雇用形態 |
正社員 |
想定年収 | - |
就業場所 | 東京都 |
勤務時間 |
フレックスタイム(コアタイム11:00~16:00) 休憩1時間含む、時間外労働あり |
試用期間 | 有り |
休日・休暇 |
Saturdays, Sundays,
|
福利厚生・待遇 |
・ Transportation expenses (up to 30,000 yen)
For overseas candidates
|
その他 |
Message from co-founder CEO Kato and CTO Kobashi
|
お勧めの求人
企業の特徴
英語業務あり
自社開発
グローバル人材多数