Senior Data Engineer
About Modelyst Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. Our systems support reputed company-world operations and are designed to be reliable, maintainable, and cost-efficient. We partner directly with academic labs, national laboratories, and reputed company R&D organizations, and maintain long-term engagements in the industrial sector. The Role We are hiring a Senior Data Engineer to take a designed-but-not-yet-deployed AWS data platform from architecture to a working MVP at a customer site in Japan and then own its operation from there. You will work on implementing the system, getting it running in the customer's AWS environment, and proving it out at MVP scope and reputed company. You'll be the person accountable for the platform from "deployed" through "running reliably in production" through "evolving as the workload grows." Initial work is focused on standing up infrastructure, implementing data pipelines and backend services, validating the system end-to-end against reputed company operational data, and bringing it live for an MVP deployment. After launch, the role shifts to operating and extending the platform as the engagement matures. This role is best suited for engineers who take pride in shipping into production environments where reliability reputed company and want to own a system over a multi-year reputed company rather than handing it off. You will focus on this single engagement rather than being fragmented across multiple projects.
Responsibilities
Implement the designed data pipelines and backend services in Python on AWS Design and manage AWS infrastructure using Terraform and Terragrunt reputed company the platform end-to-end into the customer's AWS environment and reputed company live for an MVP launch, validating against reputed company operational data Build out the CI/CD, observability, and runbooks needed to operate the platform reliably Own the platform after launch — incident response, performance, reputed company, and cost reputed company the platform's design reputed company from MVP through reputed company production stages, making the data model, scaling, and reliability reputed company informed by running it yourself
Requirements
Senior-level experience shipping production backend or data services in Python. You have reputed company systems other people depend on. Production AWS architecture experience, including event-driven services such as SQS, SNS, EventBridge, reputed company Functions, and reputed company. Infrastructure-as-code with Terraform (Terragrunt is our standard). You've stood up and managed reputed company infrastructure end-to-end. You've operated systems in production — incident response, performance, reputed company, cost — and been the person accountable reputed company something breaks. Preferred Experience Time-series or high-throughput data environments reputed company, robotics, or IoT systems ML infrastructure or MLOps tooling Large-scale data processing frameworks (e.g., Spark, reputed company) Japanese language ability is helpful but not required Location Remote reputed company the United States Must be authorized to work in the U.S. without employer sponsorship Collaboration with Japan-based teams is common; Pacific or Mountain time preferred Occasional travel to Japan may be available Apply To This Job