Note: The job is a remote job and is open to candidates in USA. Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. They are seeking a Senior Data Engineer to take an AWS data platform from architecture to a working MVP and own its operation thereafter.

Responsibilities

• Implement the designed data pipelines and backend services in Python on AWS
• Design and manage AWS infrastructure using Terraform and Terragrunt
• Deploy the platform end-to-end into the customer's AWS environment and bring it live for an MVP launch, validating against real operational data
• Build out the CI/CD, observability, and runbooks needed to operate the platform reliably
• Own the platform after launch — incident response, performance, capacity, and cost
• Lead the platform's design evolution from MVP through later production stages, making the data model, scaling, and reliability decisions informed by running it yourself

Skills

• Senior-level experience shipping production backend or data services in Python. You have built systems other people depend on
• Production AWS architecture experience, including event-driven services such as SQS, SNS, EventBridge, Step Functions, and Lambda
• Infrastructure-as-code with Terraform (Terragrunt is our standard). You've stood up and managed cloud infrastructure end-to-end
• You've operated systems in production — incident response, performance, capacity, cost — and been the person accountable when something breaks
• Time-series or high-throughput data environments
• Industrial, manufacturing, robotics, or IoT systems
• ML infrastructure or MLOps tooling
• Large-scale data processing frameworks (e.g., Spark, Databricks)
• Japanese language ability is helpful but not required

Benefits

• Medical, dental, and vision insurance.
• 401(k).

Company Overview