Software Developer (Senior)

Amatriot Group•Chantilly, VA
•Onsite

About The Position

The Software Developer - Senior supports advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline processes, improve system performance, and strengthen secure data practices while mentoring junior team members and contributing to cross-team standards. The position also supports advanced AI and GenAI capabilities, data architecture and ETL, enterprise infrastructure, cross-domain environments, and application development and integration across complex, secure technical environments.

Requirements

  • Active TS or higher Security Clearance
  • Bachelor’s degree
  • Minimum 8 years of relevant experience
  • 8+ years of experience in data engineering, database design, or related fields
  • Experience working with structured and semi-structured data and visualization technologies
  • Familiarity with high-performance computing and mixed-technology environments
  • Experience improving data workflows, performance, and security
  • Strong relational database design skills
  • Strong SQL skills
  • Strong ETL/ELT processing skills
  • Strong analytical, communication, and collaboration skills

Nice To Haves

  • Experience supporting federal or secure, multi-enclave environments
  • Background with advanced visualization platforms or high-volume data processing
  • Knowledge of data modeling, data warehousing, and performance tuning

Responsibilities

  • Develop data-processing workflows and analytics for desktop- and web-based visual analytic tools.
  • Support large-scale relational data analysis using visualization and high-performance computing.
  • Build secure data-ingestion pipelines using open-source, COTS, and GOTS technologies.
  • Design and optimize enterprise relational databases and establish standards for operations and security.
  • Integrate new data systems with existing data warehouses and improve performance and functionality.
  • Contribute to system optimization, secure posture improvements, and cross-team technical standards.
  • Support advanced AI, GenAI, and multi-model engineering capabilities.
  • Implement multi-model and multi-modality orchestration across reasoning, perception, memory, and tool-execution components.
  • Support temporal, spatial, geographic, quantitative, and computer-vision AI implementations.
  • Implement Named Entity Recognition, contextual entity extraction, and entity resolution.
  • Support multi-step retrieval and structured-output generation.
  • Perform complex data parsing and streamlined ingestion.
  • Support deep source citation and traceable analytic outputs.
  • Support vector, graph, and multi-database orchestration.
  • Develop, schedule, and optimize automated ETL pipelines.
  • Implement Attribute-Based Access Control at the data layer.
  • Support provenance and end-to-end data lineage tracking.
  • Perform schema-aligned ingestion and normalization of diverse structured and unstructured data.
  • Support air-gapped, hybrid, and on-premises operational environments.
  • Support container orchestration and distributed systems management using Kubernetes.
  • Support locally hosted GPU servers and hyperconverged nodes.
  • Support multi-tenant Cross-Domain Solutions.
  • Support UI, backend, and middleware engineering using technologies such as TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
  • Integrate reasoning components, retrieval systems, databases, and AI/GenAI services.
  • Apply modern programming languages and frameworks to application development and integration.
  • Provide mentorship to junior team members.
  • Contribute to cross-team standards and technical best practices.
  • Support improvements to system performance, security, and overall platform functionality.
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