DevOps Engineer for AI Platform
仕事概要
■ Job Summary
AI inside is looking for a DevOps Engineer in the data analysis team for our AI platform.
▍About our products
“Learning Center,” the platform for no-code AI development and operation
“AI inside Cube,” the edge computer to move various AI
“Workflows,” for AI and applications
“DX Suite,” for digitizing various information with AI
Our vision is “AI inside X.”
X stands for substitution, and we aim to create a society in which AI has integrated into people and things around the world, such as "AI inside Company" and "AI inside Factory.” We provide an AI platform, that allows anyone to create and use AI “cheaper, faster, and more”.
▍Specific duties
Some key Objectives for this role include
- Building and setting up new development tools and infrastructure
- Automate and improve development and release processes
- To ensure that systems are safe and secure against cybersecurity threats
- Identifying technical problems and provide updates and ‘fixes’
- Perform root cause analysis for production errors
- Implement Infrastructure Monitoring
- Design procedures for system troubleshooting and maintenance
▍Main technology stack
【Infrastructure】
* Script: Terraform / Github Actions
* Container: Docker / Kubernetes
* Computing : AWS EC2 / ECS / EKS
* Database : Aurora / Postgres
* Storage : AWS S3
* Identity and Access Management: AWS IAM / OAuth
【tools】
* GitHub
* Slack
▍Development style
- Development & Existing Infra Support Activity as per the Business Requirement
▍Work you would like to be entrusted with in the future
-Foster and infiltrate a development culture that showcases the personal style of AI inside
- End to end Ownership & Single Point of Contact of Analytics Infra
- Lead the Infra Automation & Security to increase productivity
▍What you will gain through this job
- you will have the chance of creating an AI platform that no one has ever seen before
- Opportunity to learn & work with latest cutting edge technology
必須スキル
■ Required Skills
- Over 3-4 years of experience working as DevOps Engineer.
- Experience working on AWS EKS, Docker & Open-Source technology.
- Experience in implementing & maintaining production infrastructure on Cloud platforms.
- Familiar with build and deployment of open-source code, Setting up monitoring and alerts in production.
- Hands-on experience of terraform script.
- Expertise working with DevOps tools such as Kubernetes, AWS IAM, AWS Workspaces etc.
- English: Advanced business level
歓迎スキル
■ Preferred Skills
- Experience working with DevOps tools such as ARGO (Scheduling), Velero (Backup), Wireguard (VPN access)
- Experience in designing processes such as infrastructure architecture.
- Willing to learn and work on the latest Open-Source DevOps technology.
- Experience with various database platforms. Individual contributor.
- Japanese: Daily conversation level (Optional)
求める人物像
■ Who we are looking for
- Those who are honest and have a tendency to rise
- Those who positively grasp the business environment that changes in about 3 months and enjoy it
–Being in a stance of trying to break through from the perspective of the company.
–Those who are willing to work steadily until results are achieved
応募概要
給与 | ■ Salary Annual salary around 5.2 million to 7.6 million (determined in consideration of experience, etc.) (Bonuses are based on business performance other than those listed) |
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勤務地 | ■ Work Place Headquarters :Shibuya Dai-ichi Seimei Building, 3-8-12 Shibuya, Shibuya-ku, Tokyo - Remote work is possible (with attendance at the head office if necessary) - Passive smoking prevention measures: no smoking indoors" |
雇用形態 | ■ Employment Status Regular employees |
勤務体系 | ■ Salary system Annual salary system ※Monthly salary includes 45 hours of overtime. In the case of an annual salary of 6.84 million yen ・Base salary: 421,725 yen ・Work allowance (for 45 hours of overtime work) 148,275 yen ・Total 570,000 yen ※Overtime work in excess of 45 hours will be paid. ※In addition, performance-linked bonus, position allowance, etc. are available. ■ Working hours 9:00-18:00 (can go home at 17:00) ■ Vacations ・125 days off per year, 2 days off per week ・Summer vacation ・year-end and New Year's vacation ・paid vacation (10 days after 3 months of employment, granted all at once on April 1, maximum 20 days) ・congratulation or condolence leave, maternity, childcare, and nursing care leave. |
試用期間 | ■ Trial period:Yes (3 months) *No change in conditions at the time of employment |
福利厚生 | ■ Welfare and benefit ・Health insurance (Kanto IT Software Kenpo Kumiai) ・Employees' pension ・Unemployment insurance ・Workers' compensation insurance ■ Other benefits ・GLTD (Group Long Term Disability Income Compensation) Insurance ・Book subsidy |
企業情報
企業名 | AI inside 株式会社 |
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設立年月 | 2015年8月 |
本社所在地 | 東京都渋谷区渋谷3-8-12 渋谷第一生命ビルディング4階 |
資本金 | 12億2千万円 |
従業員数 | 116名(2022年3月末時点) |