Analyze JMDC and Omron Group data to develop new data-driven services, build predictive models, advise industry clients, improve services with machine learning, and publish findings.
About this role
This software engineer works on the backend of Pep Up, a personal health record (PHR) service. The role joins product development from planning, identifies issues in the product and development process, and turns improvements into implementation. The service handles tens of millions to hundreds of millions of records.
Responsibilities include new and existing feature development; APIs for web and mobile applications; ETL and data-processing platforms linked to a data warehouse; development-environment modernization; monitoring; and automated testing. Named technologies include Ruby on Rails, GraphQL Ruby, RSpec, React, TypeScript, React Native, AWS, Docker, Terraform, GitHub Actions, PostgreSQL, and GitHub Flow.
Required qualifications are approximately three or more years of web development with Ruby on Rails or another framework, experience independently finding issues and driving improvements with others, and experience using generative AI in development. Personal projects are accepted for the AI requirement.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Conduct data science R&D for healthcare services, analyze medical and health data, build predictive models, support client consulting, and improve services through machine learning. The role uses Python and SQL.
Design and build data pipelines, cloud infrastructure, MLOps capabilities, and backend APIs for new healthcare data products using large-scale medical data. The role covers architecture, deployment, monitoring, and continuous improvement.
Build and manage engineering teams for payments and digital products, lead architecture and delivery improvements, and develop people while balancing business priorities.
Designs and validates AI-enabled solutions on the Box Platform, leading customer demos and proofs of concept, building prototypes, and creating reusable technical assets.
Develop AI applications and satellite-data solutions by researching customer needs, selecting methods, implementing systems, and leading delivery. The role uses Python, cloud platforms, GitHub Actions, Docker, Terraform, and AWS CDK.