Foreign nationals residing overseas
are welcome to apply for our job openings.
JOB DETAILS
We are looking for DevOps Engineers that are interested building and running a platform for data pipeline operations.
The platform integrates latest solutions including on-premise and public cloud computing resources, application frameworks for running new data platform applications for data processing.
You will have many opportunities to use the latest technology, and choose the best platform solutions based on good design thinking.
You will work with small and quick moving teams, and also with other data engineer and data analyst as the platform customers.
Position Details
– Design, implement and operate distributed system infrastructure
– Development for infrastructure automation and tool creation
– Collect infrastructure related metrics to create KPI dashboard
– Build and maintain monitoring system
– Provide 24/7 high availability for stable platform
WORK LOCATION
Tokyo
SALARY
Monthly salary: ¥301,000+
Salary increase : twice
Bonus : twice
WORKING HOURS
9:00～17:30
HOLIDAYS AND VACATIONS
Summer vacation, New Year’s holiday, annual paid leave, maternity leave, childcare leave, nursing care leave, menstrual leave,
special leave (congratulatory/condolence leave, volunteer leave, etc.)
INSUARANCE / EMPLOYEE BENEFIT
Employee pension insurance, health insurance, workers’ compensation insurance, employment insurance, etc.
Employee Benefits
Stock options available
Retirement benefits available
Other benefits include a cafeteria (breakfast, lunch, and dinner are generally free), a fitness gym (fees apply), and an employee stock ownership plan.
APPLICATION QUALIFICATIONS
【必須要件】
– UNIX/Linuxおよびネットワーク運用の経験が5年以上
– Docker、Kubernetes、Terraform、Ansibleなどのインフラ自動化技術の経験が3年以上
– Google Cloud、Microsoft Azureなどのパブリッククラウドプラットフォームの運用経験
– Webアプリケーション、ミドルウェア、バッチジョブのログ記録、監視ソリューションの構築
経験 – 特定の要件に基づいたツールの設計と構築の経験
– Jenkinsまたはその他のCIソリューションの使用経験
– プロダクトマネージャーや社内ユーザーと話し合い、要件を収集する能力
【Desired Qualifications】
– Bachelor or Master degree in Computer Science or Engineering
– Experience with Big Data querying tools, such as BigQuery, Trino, Hive, etc.
– Experience with building and maintaining data platform
– Experience with building data pipeline using Airflow
INTERVIEW PREPARATION TO GET A JOB OFFER
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