Code Metal
Code Metal
51 – 200 Employees
AerospaceAutomotiveDefense
Code Metal is a B2B software company developing verifiable code translation and automated toolchains for mission-critical systems. Its platform converts high-level research and AI code into production-ready, standards-compliant software for languages and technologies including C/C++, Rust, VHDL, CUDA, and OpenCL. AI-guided translation, static analysis, automated test generation, formal verification, and target-specific optimization help produce traceable code with functional-equivalence, safety, and compliance checks. Code Metal serves organizations in aerospace, defense, automotive, semiconductors, and robotics that need to deploy software across chips and embedded platforms while preserving portability and assurance.

Lead Backend Engineer, Modeling & Simulation

Lead Code Metal’s backend and data engineering team as it develops AI-powered wargaming and decision-support software. Build Python services, APIs, and data systems for government customers.

Description

  • Lead and expand a backend and data engineering team while contributing directly to the codebase
  • Set technical direction for backend services, APIs, data platforms, and integrations spanning simulation, AI, frontend, and platform engineering
  • Design, build, and operate secure, dependable Python services, APIs, workers, and integration components
  • Turn product, research, and domain needs into system architectures, technical plans, and incremental deliverables
  • Set engineering practices for API design, service boundaries, testing, observability, error handling, migrations, security, and code review
  • Develop enterprise software for cloud, private-cloud, customer-managed, on-premises, and disconnected environments
  • Work with platform and data engineering leaders to deliver systems that are deployable, observable, performant, and maintainable
  • Facilitate design reviews, RFCs, technical planning, and architecture decisions
  • Investigate and resolve complex problems across services, databases, queues, APIs, infrastructure, and external integrations
  • Review code, mentor engineers, and assess AI-generated code for high-assurance environments
  • Partner with Product, Engineering, and government stakeholders to align platform capabilities with mission requirements
  • Recruit, develop, and scale the backend and data engineering organization while helping plan headcount and technical capacity

Requirements

  • Substantial experience building and operating production backend systems for enterprise software
  • Advanced Python skills, including experience designing services, APIs, background workers, and integration layers
  • Demonstrated technical leadership through architecture guidance, code review, mentoring, and delivery ownership for a small team
  • Strong knowledge of service architecture, domain modeling, API contracts, system boundaries, and failure modes
  • Experience with relational databases, preferably PostgreSQL, plus strong SQL and data-modeling fundamentals
  • Experience using ORMs and database migration tools such as SQLAlchemy, Alembic, Django ORM, or similar technologies
  • Track record delivering secure, reliable, and observable production software
  • Familiarity with cloud deployment approaches on AWS, Azure, GCP, or comparable platforms
  • Experience supporting private-cloud, on-premises, customer-managed, appliance-style, or disconnected deployments
  • Practical judgment when balancing data consistency, reliability, observability, and operational support
  • Effective cross-functional communication and the ability to turn ambiguous requirements into clear plans and working software
  • An active U.S. security clearance is strongly preferred
  • U.S. work authorization may be required for project assignments involving security clearance

Benefits

  • Health care coverage with 100% of premiums paid, including medical, dental, and vision
  • 401(k) plan with a 5% employer match
  • Paid time off with uncapped vacation, sick leave, and public holidays
  • Flexible hybrid or remote work options
  • Relocation support for eligible employees
  • Compensation targeted toward the upper end of the applicable salary range

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