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Code Metal

Backend Engineer, Data Systems (Modeling & Simulation)

Boston Hub (Remote)fulltimemidAdded 6 days ago

About this role

Code Metal seeks a Backend Engineer to design and build core data foundations for a next-generation wargaming and decision-support platform. You'll translate complex domain concepts into clean relational data models, robust SQL schemas, and maintainable backend services that move business logic from application code into extensible, database-backed data structures.

What you'll do

  • Design and evolve relational data models representing complex domain entities, relationships, and workflows
  • Build and maintain SQL schemas, constraints, indexes, migrations, and query patterns for scalable systems
  • Define and enforce data contracts between services, APIs, ingestion pipelines, and consumers
  • Develop ingestion and normalization workflows for structured and external source data
  • Move business logic into configurable data structures including rules, constraints, and decision logic
  • Partner with product and domain experts to convert requirements into clear data abstractions

What they're looking for

  • Relational database design and PostgreSQL
  • SQL (complex joins, aggregations, CTEs, performance optimization)
  • Python programming
  • Schema design and normalization
  • ORMs and migration frameworks (SQLAlchemy, Alembic)
  • Data ingestion and transformation pipelines
  • Data contract definition and API design
  • Rule-driven systems and policy engines
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Code Metal

Code Metal builds AI systems and algorithm-to-hardware platforms for mission-critical defense, aerospace, and automotive applications, with a focus on formal methods verification and human-machine collaboration. The company is hiring applied AI researchers, formal methods specialists, forward deployed engineers, and IT support staff to develop and deploy these advanced systems.

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Likely interview questions

  • Walk us through a complex data modeling problem you've solved: what domain concepts did you identify, and how did you normalize them?
  • Describe your approach to deciding whether business logic should live in the database, application code, or a separate rules service.
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