サグリ株式会社

About Us_required entry

Corporate Name: （furigana）サグリカブシキガイシャ
（Japanese）サグリ株式会社
（English）Sagri Co., Ltd

Corporate Profile: (Hyogo Global HQ) 725-1, Joraku, Hikami-town, Tamba city, Hyogo prefecture, Japan

Other branches in Japan: (Tokyo HQ) Shinjuku Sumitomo Building 18th Floor, 2-6-1, Nishishinjuku, Shinjukuku, Tokyo, Japan
(Hamamatsu Branch)415, Hamamatsu Chuo kan, Zazacity, 100-1, Kaji machi, Nakaku, Hamamatsu city, Shizuoka prefecture, Japan

Business Overview: Business creation through satellite data analysis and machine learning

Year of establishment (A.D.*): 2018

Representative: Representative Director/CEO, Shunsuke Tsuboi

Number of Employees: 54employees（including part-timers）

Capital stock: 779.76 million yen (including reserves)

Corporate website URL: https://sagri.tokyo/en/

Foreign Recruitment Experience②: China/中華人民共和国

Foreign Recruitment Experience③: Indonesia/インドネシア共和国

PR Message for Foreign Talent: We want to hear from you if you are passionate about leveraging technology to drive sustainable agriculture and combat climate change. Join us in our mission to create a more sustainable and resilient agricultural ecosystem for generations.

Sagri is an equal-opportunity employer that values diversity in all its forms. We encourage candidates from all backgrounds to apply and help us cultivate a more inclusive and sustainable future.

To apply, please submit your resume and a cover letter explaining why you're excited about this role and how your experience aligns with our requirements.

Company Features

Work from home
10-minute walk from the nearest station
Reimbursement of transportation expenses
Casual outfit

Recruitment information

Industry: Information Technology industry｜

Job Categories: Engineer｜

Job Title: Software Development Engineer

Work location: Tokyo｜

Language Level Japanese: Daily Conversation Level

Other Languages: 英語（English）｜

Major department: Science and Technology

Required Experience: ①SoftwareEngineer
Required Skills and Experience:
- 3+ years of software development experience
- Hands-on experience with AWS cloud services
- Experience developing in Python, TypeScript
- Experience with Infrastructure as Code (IaC) (AWS CDK, Terraform, etc.)
- Knowledge and experience with container technologies (Docker, Kubernetes)
- Experience with database design and management
- Experience building CI/CD pipelines

Preferred Skills and Experience:

- Experience with large-scale data processing
- Knowledge of machine learning and image processing algorithms
- Knowledge of security best practices and experience implementing them
- For Tokyo-based positions: Business-level Japanese language proficiency (both written and spoken)

②Senior MLOps Engineer
- **6–7 years of experience** in IT with a strong focus on **MLOps**, DevOps, or Data Engineering roles.
- Experience with cloud platforms (**AWS, GCP, Azure**) and infrastructure as code (e.g., **Terraform**, **CloudFormation**).
- Hands-on experience with **Kubernetes** or other container orchestration technologies for scaling ML models.
- Expertise in CI/CD tools (e.g., Jenkins, GitLab CI, ArgoCD) and familiarity with version control (e.g., Git).
- Familiarity with data pipeline orchestration tools like **Apache Airflow** or **Kubeflow**.
- Strong understanding of monitoring tools and techniques for tracking model performance (e.g., **Prometheus**, **Grafana**, **ELK stack**).
- Knowledge of **data management** and **ETL processes**, especially in handling agricultural and environmental data.
- Proficiency in **Python**, with knowledge of ML frameworks like TensorFlow, PyTorch, or Scikit-learn is good to have.
- Exposure to the agriculture domain and **carbon/GHG emissions** projects is a strong plus.
- A mindset towards automation, efficiency and sustainability in machine learning operations.

Job Description: ①SoftwareEngineer
You will join our data infrastructure team and contribute to the development of a data infrastructure that will streamline the process of providing data for our applications (Actaba and Detaba). This project will contribute to improving the operational efficiency and accuracy of local governments and provide more value to our clients.
Key Responsibilities:
1. design, develop, and operate data infrastructure utilizing AWS cloud services
2. automation of infrastructure using Infrastructure as Code (IaC) (AWS CDK with Python)
3. implementation and optimization of AWS services (S3, ECS, etc.) for data collection, storage and processing
4. implementation of system monitoring, logging and security measures (CloudWatch, NewRelic, etc.)
5. development and operation of applications using container technologies (Docker, ECS)
6. design and implementation of non-functional requirements (scalability, security, performance) of data infrastructure
7. project promotion and continuous delivery (CI/CD) practices using agile development methodologies

②Senior Software Engineer
**Job Overview**:
As an **MLOps Engineer**, you will be responsible for managing the end-to-end lifecycle of machine learning models, from development to production, focusing on automation, scalability and monitoring. You will collaborate closely with data scientists, engineers and domain experts to ensure seamless deployment, maintenance and optimization of ML models that are used for projects like **crop classification**, **soil health analysis** and **carbon emission monitoring** in the agricultural domain.
**Key Responsibilities**:
- Design and implement automated ML pipelines for development, testing, deployment and monitoring of machine learning models.
- Collaborate with Data Science and Engineering teams to integrate models into production environments.
- Develop infrastructure for model versioning, scaling and serving to ensure high availability and low latency.
- Establish CI/CD processes for model deployment and data pipelines, ensuring reproducibility and consistency across environments.
- Monitor model performance, set up logging and create alert systems for ML models in production.
- Optimize ML workloads for performance and cost efficiency in cloud environments (e.g., **AWS**, GCP or Azure).
- Ensure data integrity, compliance and security standards, particularly with sensitive agricultural data.
- Participate in green computing initiatives to minimize the carbon footprint of machine learning operations.
- Assist in creating and maintaining a **central data platform or Data Lake** for collaborative model development and application, ensuring data pipelines and models are well-documented.

Salary: ￥4000000〜 9000000/year
The above annual salary is an example. It will be determined in consideration of your current annual income and experience.

【Monthly】Example
￥334,000　※Includes fixed overtime allowance of ¥79,000 (40 hours of overtime pay)

Salary increase ・ bonus: Salary revision once a year
No bonus

Other benefits: Transportation expenses (paid according to regulations)

Benefits and Welfare: Annual paid leave (10 days granted on date of hire)
Maternity leave and childcare leave (available immediately after joining the company)
Nursing care leave, family care leave, leave for work-related injury or illness, etc.

Working Hours: Flexible work hours based on 9:00-18:00
Start time: 6:00 - 10:00
Closing hours: 15:00-22:00
Core time: 10:00-15:00

Break Time: 60min

Overtime monthly average: About 20h/month on average (company-wide)

Number of days off per year: More than 120 days

Fixed holiday: Saturday, Sunday, National Holidays

Vacation system: Year-end and New Year vacations (days between December 29 and January 4 of the following year as determined by the company)

Selection schedule after application: ①Apply through the dedicated event form
②Document screening
③First round interview
④2nd interview + code test
⑤Final interview
⑥Offer interview

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