> Markdown version of [/jobs/ext/4029332-systems-engineer-dod-fsi](https://www.wearedevelopers.com/jobs/ext/4029332-systems-engineer-dod-fsi). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Engineer, DoD - FSI - **Company:** VAST Data - **Location:** Washington, DC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Amazon S3, Business Analytics Applications, Systems Engineering, Computer Clusters, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Decision Support Systems, Apache Hadoop, Information Lifecycle Management, Multi-protocol Systems, PostgreSQL, Microsoft SQL Server, Online Analytical Processing, Online Transaction Processing, Oracle (Applications), Remote Direct Memory Access, SQL Databases, Data Streaming, Unstructured Data, Graphics Processing Unit (GPU), Low Latency, Apache Kafka, Data Management, Stream Processing, Enterprise Service Bus, Nvme - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/systems-engineer-dod-fsi-washington-dc--bad122fd-3774-4bd2-ad44-c457766f0592 ## About the Role * 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. ## Description 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., * 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.