Back End Engineer

Job ID 18178
Job Type
Permanent
Salary
Up to JPY 20,000,000 (depends on experience)
Japanese Level
High Intermediate (JLPT Level 2)
English Level
None
Start Date
ASAP
Location
Tokyo
Job Type
Permanent
Salary
Up to JPY 20,000,000 (depends on experience)
Japanese Level
High Intermediate (JLPT Level 2)
English Level
None
Start Date
ASAP
Location
Tokyo

Description

They are the first start-up from Japan to be part of US mager Tech startup.

 

About the Role

This position mainly develops the platform layer or the BFF (Backend for Frontend) layer of individual applications. Since BFF must be launched at high speed for each customer, you will develop a framework with high agility while observing customer application requirements by making full use of code generation and templates.

 

Tech stack

WEB Frontend: Typscript, React, Apllojs,

Backend: golang, gqlgen, ent, gorm

Others: Graphql, gRPC

Infrastructure: Google Cloud Platform, Amazon web service

Database: PostgreSQL (Cloud SQL / RDS), CloudSpanner

Orchestration: Cloudrun

CI: Github Action

Code management: Github

Middleware: Cloud Pub / Sub, NGINX, CloudFunctions, Cloud Tasks, AWS Lambda etc.

Surveillance: Datadog, Sentry, PagerDuty

Environment construction related: Docker, docker-compose, Terraform

Data analysis related: BigQuery, Cloud logging

Project management, documentation: JIRA, Notion, Mermaid

 

【Company Details】


【Working Hours】
9:00 – 18:00 (Mon to Fri) *Full remote work
 
【Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
 
【Services / Benefits】

Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

 

 

 

 

Required Skills

- Design and development of WEB applications in Go

*If no Golang experience, then must have Architect level experience in Java/PHP

 

- Design of I / F for Backend for Frontend

- Design of I / F between microservices (Protobuf + gRPC / GraphQL)

- Application design and development based on requirements

- Performance tuning of large systems

- Experience building on AWS or GCP