[Hiring] Senior Data Engineer @Modelyst

Role Description

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.

• The system has been designed; what's needed is an engineer who can implement it cleanly, get it running in the customer's AWS environment, prove it out at MVP scope, and then run it as it grows.
• 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 real 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 matters and want to own a system over a multi-year arc 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.
• 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.

Qualifications

• 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.

Preferred Experience

• 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.

Location

• Remote within 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.

Benefits

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