Full Stack Engineer
- Hybrid
- Koto-ku, Tokyo, Japan
- Solution Development Department
Job description
The team is a software engineering team to create tooling that assists scientists with sharing algorithms with the rest of the company. These algorithms use satellite data and machine learning/image processing algorithms. We are looking for a full stack engineer to help us build a pipeline to run geoscience algorithms and models efficiently.
About Dept. and Unit:
The Solutions Development Department at Synspective is responsible for developing models and algorithms which produce actionable insights for customers not specialized in the earth observation business. These algorithms may use multiple sources of data, including our own satellite data. To that end, we develop an analytics platform that enables the production of geoscience insights efficiently and easily.
The execution team is a lean team that embraces a learn fast mentality and prioritizes useful solutions for difficult business problems. The role itself will be flexible in terms of both work, experience, and learning opportunities.
Responsibility:
Design and build solutions to help scientists develop algorithms
Build and maintain a cloud based software system to run algorithms automatically.
Develop and analyze metrics to help drive our north star to develop and run geoscience algorithms.
Details of work:
Design and develop a pipeline to run geoscience algorithms. Be responsible for all parts of this pipeline which spans all of the web stack
Develop tools to improve efficiency of geoscience algorithm production from inception to productization. These tools serve both the producers (scientists) and the consumers (sales team)
Cross-functional collaboration with multiple stakeholders to develop a product.
Selling points of this role:
Learn all parts of the web stack in a “learn fast” environment including both development and product planning.
Work with geoscientists, discuss the science, and improve on the algorithms.
Be part of a venture to change the world through using Synthetic Aperture Radar (SAR) data
Work with a group of driven engineers across multiple disciplines to achieve our goal of a learning world.
Work with a variety of people from diverse backgrounds.
Job requirements
Minimum qualifications Preferred qualifications:
2+ years of experience as a software engineer
Experience building customer-facing cloud-native systems on one of the major cloud providers using Kubernetes and Docker
Experience working with git
Experience in designing and developing microservices
Experience working with Linux based systems
Experience in software development for internal use (requirement gathering, designing, programming and maintenance)
preferred technical skills: python, javascript, golang, vue, react, GCP APIs
Experience in working in a team loosely following agile methodology
Ability to communicate in English
Preferred qualifications:
Experience with flask, jupyter notebooks, containerized workloads, developing tooling for VSCode, Python’s poetry and Javascript.
Experience with Kubeflow or ML training pipelines is a plus
Experience with Google Cloud Platform
Experience managing CI/CD pipelines
Experience in handling GIS/Map data and services
Ability to communicate in Japanese
5+ years of python experience a plus
Scope of change: Working locations can be specified by the company
(including locations other than where employees usually work, "Remote Work")
or
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