Systems Engineer, DoD - FSI

Reposted 8 Days Ago
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Washington, DC, USA
In-Office
Senior level
Artificial Intelligence • Software
The Role
As a Senior Systems Engineer, you will serve as the technical lead for Defense Intelligence, translating mission requirements into scalable architectures and designing high-performance solutions.
Summary Generated by Built In
Description

VAST Data is looking to hire a Federal Sr Systems Engineer focused on the DoD/Intelligence Community!

VAST Data is redefining the data platform for the AI era. As one of the fastest-growing infrastructure software companies in history, VAST sits at the center of AI, HPC, and data modernization driving national security and defense missions.

With nearly an exabyte deployed across the public sector, VAST delivers secure, scalable, high-performance infrastructure across classified, hybrid, cloud, and edge environments.We are seeking a Senior Systems Engineer – Intelligence Community (DoD/IC) to serve as the technical lead supporting Defense Intelligence accounts. This role partners closely with Sales to architect, position, and validate VAST’s Data Platform in secure, high-performance environments.

Key Responsibilities

  • Serve as the primary technical advisor across IC and Defense Intelligence accounts.
  • Translate mission requirements (AI/ML, ISR, cyber, analytics, HPC, edge collection) into scalable VAST architectures.
  • Design secure, high-performance solutions leveraging VAST’s scale-out, disaggregated architecture, NVMe-oF/RDMA fabrics, all-flash storage, and multi-protocol access (S3, NFS, SMB, block).
  • Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments.
  • Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified briefings.
  • Partner with defense SIs and cleared cloud providers within complex DoD/IC procurement environments.
Requirements
  • 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence Community customers.
  • Strong foundation in SQL-based systems and database architectures.
  • Familiarity with:
  • OLTP environments (low-latency transactional systems: Oracle, SQL Server, Postgres)
  • OLAP / analytics platforms supporting large-scale BI, statistical analysis, and decision support
  • Experience with unstructured data ecosystems, including Hadoop-based platforms and AI-driven analytics environments.
  • Understanding of stream processing and data transformation technologies (e.g., Kafka, event streaming, enterprise service bus architectures).
  • Knowledge of ETL pipelines and data lifecycle movement across silos and formats.
  • Deep expertise in enterprise storage, scale-out architectures, AI/HPC infrastructure, NVMe, RDMA, and GPU environments.
  • Experience designing solutions for classified and hybrid environments.
  • Ability to engage mission engineers, CTO/CIO leadership, and program offices.
  • Active TS/SCI (Poly preferred) required.

Skills Required

  • 8+ years in Pre-Sales/Systems Engineering
  • Strong foundation in SQL-based systems and database architectures
  • Familiarity with OLTP and OLAP environments
  • Experience with unstructured data ecosystems
  • Knowledge of stream processing and data transformation technologies
  • Deep expertise in enterprise storage and AI/HPC infrastructure
  • Experience designing solutions for classified and hybrid environments
  • Active TS/SCI clearance

VAST Data Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about VAST Data and has not been reviewed or approved by VAST Data.

  • Healthcare Strength Medical, dental, vision and life insurance are included, with several elements identified as employer-provided. Coverage aligns with what is commonly offered by high‑growth tech companies.
  • Leave & Time Off Breadth Time off includes generous or unlimited PTO alongside paid sick days and paid holidays, coupled with remote or work‑from‑home flexibility. This breadth supports taking time away when needed.
  • Equity Value & Accessibility Company equity is a standard part of offers with a typical four‑year vest, and professional development support is available. Equity is positioned as a meaningful component of total compensation at a growth‑stage company.

VAST Data Insights

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The Company
HQ: New York, NY
848 Employees
Year Founded: 2016

What We Do

Meet the data platform company for the AI era. Accelerating time-to-insight for workload-intensive applications, the VAST Data Platform delivers scalable performance, radically simple data management and enhanced productivity for the AI-powered world. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.

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