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10 часов назад

Senior Systems Engineer (DoD/FSI)

Формат работы
onsite
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

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TL;DR

Senior Systems Engineer (DoD/FSI): Designing and validating secure, high-performance data platforms for the DoD and Intelligence Community with an accent on AI/ML infrastructure, NVMe-oF/RDMA fabrics, and large-scale data ingestion. Focus on architecting AI-ready platforms for GPU clusters and managing complex hybrid or air-gapped deployments in classified environments.

Location: Washington D.C. (Must be based in the US and hold required security clearances)

Company

hirify.global is a high-growth infrastructure software company redefining data platforms for the AI era, specializing in secure, scalable high-performance storage for national security and defense missions.

What you will do

  • Serve as the primary technical advisor across Intelligence Community (IC) and Defense Intelligence accounts.
  • Translate mission requirements for AI/ML, ISR, cyber, and analytics into scalable VAST architectures.
  • Design secure solutions leveraging scale-out disaggregated architecture, NVMe-oF/RDMA fabrics, and multi-protocol access.
  • Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and air-gapped deployments.
  • Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified briefings.
  • Partner with defense SIs and cleared cloud providers within complex procurement environments.

Requirements

  • Active TS/SCI (Poly preferred) required.
  • 8+ years in Pre-Sales or Systems Engineering supporting DoD or Intelligence Community customers.
  • Strong foundation in SQL-based systems, OLTP environments, and OLAP/analytics platforms.
  • Experience with unstructured data ecosystems, Hadoop-based platforms, and AI-driven analytics.
  • Knowledge of stream processing (e.g., Kafka) and ETL pipelines.
  • Deep expertise in enterprise storage, scale-out architectures, NVMe, RDMA, and GPU environments.

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