About the role
About Code Metal Code Metal is redefining code translation for mission-critical industries, helping defense partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We also support automotive, aerospace, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor.
About
the Role We are looking for a Senior Backend Engineer, Data Systems to help design and build the core data foundations of our platform. This role is for an engineer who is deeply comfortable translating complex real-world concepts into clean relational data models, durable SQL schemas, clear data contracts, and maintainable backend services. You will work at the intersection of backend engineering, data architecture, and domain modeling. A major focus of this position will be building systems where business rules and operational logic can be expressed through data structures and database-backed rules, rather than being hardcoded exclusively in application logic. You will help shape how we represent entities, relationships, constraints, validation rules, ingested data, and derived logic across the product. This is not a traditional analytics or BI data engineering role. It is a product/backend engineering role with a strong data systems focus. What You’ll Do Design and evolve relational data models that represent complex domain concepts, entities, relationships, and workflows. Build and maintain SQL schemas, constraints, indexes, migrations, and query patterns that support scalable backend systems. Define and enforce data contracts between services, APIs, ingestion pipelines, and downstream consumers. Develop ingestion and normalization workflows for structured, semi-structured, and external source data. Move business logic from ad hoc application code into well-modeled, extensible data structures, including: configurable rules eligibility or feasibility checks mappings and lookup tables domain-specific constraints decision logic represented in data Partner with product, domain experts, and engineers to convert ambiguous or evolving
