Software Developer; Senior

Chantilly, VA

Active TS or higher [Required]

Full-Time

$160,000 - $180,000

• This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

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.

• 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 Type Script, 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.

• Bachelor’s degree. [Required]

• Minimum 8 years of relevant experience. [Required]
• 8+ years of experience in data engineering, database design, or related fields. [Required]
• Experience working with structured and semi-structured data and visualization technologies. [Required]
• Familiarity with high-performance computing and mixed-technology environments. [Required]
• Experience improving data workflows, performance, and security. [Required]

• Strong relational database design skills. [Required]
• Strong SQL skills. [Required]
• Strong ETL/ELT processing skills. [Required]
• Strong analytical, communication, and collaboration skills. [Required]

• 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.