DataOps and HPC infrastructure for defense and intelligence missions
Avalore operates deep within the federal defense and intelligence ecosystem, running high-performance computing platforms and data integration pipelines for DoD, DHS, and IC agencies. The tech stack is heavily weighted toward distributed compute (Hadoop, MapReduce, SLURM, CUDA) and legacy enterprise data systems (Oracle, SQL Server, IBM DOORS), with active work on cloud-native analytics (BigTable, Cloudera). The engineering-dominant hiring mix and project focus on HPC performance tuning and complex compute platform operations suggest Avalore is scaling infrastructure capacity for mission-critical workloads with extreme data volume and strict governance requirements.
Avalore is a 2–10 person systems integrator based in Reston, VA, specializing in data collection, analysis, and infrastructure services for U.S. federal defense, homeland security, and intelligence agencies. The company operates high-performance computing environments, manages database architecture and integration across legacy and cloud systems, and automates data workflows using DataOps practices. Core operational challenges center on performance optimization at scale, capacity planning within strict budget cycles, and compliance with federal procurement and budget apportionment rules.
Avalore runs Hadoop, MapReduce, SLURM, and CUDA for distributed computing; Oracle, SQL Server, and Sybase for databases; Google Cloud BigTable and Cloudera for cloud analytics; and IBM DOORS, Eclipse, and Microsoft Office for enterprise tooling.
Current projects include HPC platform performance tuning, BigTable cloud integration, MapReduce analytics workflows, database architecture development, and workflow automation across customer portfolios.
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