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$170к-210к/год
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У роли четкий фокус на бэкенде и распределенных системах с интересными задачами в симуляции и ИИ, но требование допуска Top Secret в США заметно ограничивает круг тех, кто сможет ее занять.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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