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10 дней назад

Python Engineer (Modeling & Simulation)

170 000 - 210 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Python Engineer (Modeling & Simulation) (Python/AI/Distributed Systems): Building backend services, data foundations, and simulation execution infrastructure for a wargaming and decision-support platform with an accent on API design, reproducible data pipelines, and resilient distributed services. Focus on orchestrating Monte Carlo and sensitivity-analysis workloads, integrating simulation runtimes with agentic AI or ML pipelines, and preserving reliability across workstation, on-premises, and cloud environments.

Location: Hybrid or remote in the United States, with offices in Boston and San Francisco

Salary: $170,000–$210,000 annual base salary; other compensation ranges are also listed in the source.

Company

hirify.global is hiring for software engineering work supporting a wargaming and decision-support platform.

What you will do

  • Design backend services and APIs that schedule simulation runs, collect outputs, and deliver results to frontend and analysis tools.
  • Build ingestion and normalization pipelines with data models and interfaces for simulation inputs, outputs, and provenance.
  • Develop distributed execution across local workstations, on-premises environments, and cloud infrastructure while preserving reproducibility.
  • Implement scenario generation, Monte Carlo execution, and sensitivity-analysis services with domain specialists.
  • Connect Python tooling with simulation runtimes and agentic AI or ML pipelines through scalable, containerized interfaces.
  • Translate stakeholder requirements into maintainable designs and own testing, code review, CI, and release quality; architectural and mentoring responsibilities increase with level.

Requirements

  • Professional production Python experience with direct ownership of backend services, APIs, or data systems.
  • Strong API design and service-boundary judgment, with experience using REST, GraphQL, or gRPC.
  • Docker-based development experience.
  • Ability to reason about distributed execution, data orchestration, reliability, scaling, and failure recovery.
  • Collaborative delivery experience, clear stakeholder communication, and disciplined software development practices.
  • Familiarity with ML tools.
  • Eligibility to obtain and maintain a U.S. Top Secret security clearance is required.

Nice to have

  • Experience with AWS, GCP, or Azure.
  • Reliable agentic AI integrations.
  • Code analysis, static analysis, or C++ interoperability.
  • Simulation, AFSIM, or defense-domain experience.

Culture & Benefits

  • Hybrid or remote work arrangement in the United States.
  • Offices are available in Boston and San Francisco.
  • Role scope includes collaboration with domain specialists and stakeholders.

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