Linchpin Software
Software Developer SME (Full Stack, Data and GenAI) with Security Clearance
Skills
6 days ago
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Important information
Contract type:
Permanent
Location:
Chantilly, VA, USA
Work mode:
Onsite
Published on:
14 October 2026
What they need
LOCATION: Chantilly, VA or Remote/Hybrid
CLEARANCE: Active Top Secret, TS/SCI, or Intel Agency clearance
EDUCATION: Bachelor's degree required
EXPERIENCE: Minimum 10 years JOIN OUR GROWING TEAM At Linchpin Software, we are building a team, not filling seats. We are looking for senior full stack engineers who like variety, want real ownership, and want to grow with a program that keeps taking on new and interesting mission problems. This is a heterogeneous program. No two problems look the same, and our work spans three main areas: - Data engineering: building secure ingest pipelines, designing large relational, vector, and graph data stores, and enabling high-performance analysis across structured and unstructured data
- User-facing workflows and presentation: building the web applications, visual analytics, and interfaces analysts use every day
- On-prem GenAI: a new and growing scope of work integrating locally hosted GenAI and multi-model AI into analytic workflows, in air-gapped and cross-domain environments You do not need to be an expert in all three. If you are a strong full stack engineer with deep experience in at least one of these areas and curiosity about the others, we want to talk to you. ABOUT THE ROLE As a Software Developer SME, you will be a technical leader for an in-house, custom-developed analytic application. You will help set architecture, development standards, and modernization strategy, while staying hands-on in design, development, testing, and delivery. You will build scalable, secure, high-performing solutions aligned with zero trust principles and interoperability requirements, and you will mentor teammates along the way. WHAT YOU WILL DO - Design, build, test, and enhance full stack enterprise applications (UI, backend, and middleware)
- Build data processing workflows and analytics that power desktop and web-based visual analytic tools
- Build secure data ingest pipelines using open-source, COTS, and GOTS technologies
- Design and optimize relational, vector, and graph databases and integrate them with existing data warehouses
- Integrate reasoning components, retrieval systems, databases, and on-prem AI / GenAI services into analytic workflows
- Establish architectural frameworks, secure coding standards, and development best practices
- Lead technical initiatives and mentor engineers across the team REQUIRED SKILLS - 10+ years of experience designing and developing enterprise-scale software
- Strong full stack skills with modern languages and frameworks (for example TypeScript, React, Python)
- Expertise in software design patterns and application architecture
- Strong experience in at least one of: data engineering (SQL, relational database design, ETL/ELT), user-facing application and visualization development, or AI / GenAI integration
- Knowledge of application security, secure coding, and software quality assurance
- Experience with DevSecOps, CI/CD pipelines, automated testing, and version control
- Proven ability to lead technical initiatives and establish development standards
- Strong analytical, troubleshooting, communication, and collaboration skills TECHNICAL ENVIRONMENT Application Development and Integration
- TypeScript, React, Python, FastAPI, PostgreSQL, LanceDB, lance graph, Temporal.io, Docker, Kubernetes
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services Data Architecture and ETL
- Vector, graph, and multi-database orchestration
- Automated ETL pipeline creation, scheduling, and optimization
- Attribute Based Access Control (ABAC) at the data layer
- Provenance and end-to-end data lineage tracking
- Schema-aligned ingestion and normalization of diverse structured and unstructured data Advanced AI, GenAI, and Multi-Model Engineering
- Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
- Temporal, spatial, geographic, quantitative, and computer vision AI
- Named Entity Recognition (NER), contextual entity extraction, and entity resolution
- Multi-step retrieval and structured output generation
- Complex data parsing and streamlined ingestion
- Deep source citation and traceable analytic outputs Enterprise Infrastructure and Cross Domain Solutions
- Air-gapped, hybrid, and on-premises operational environments
- Container orchestration and distributed systems (Kubernetes)
- Locally hosted GPU servers and hyperconverged nodes
- Multi-tenant Cross Domain Solutions (CDS) PREFERRED SKILLS - Master's degree in Computer Science, Software Engineering, or a related field
- Experience supporting federal, defense, intelligence, or secure multi-enclave environments
- Cloud-native architectures, microservices, and containers
- Data modeling, data warehousing, and performance tuning
- Advanced visualization platforms or high-volume data processing
- Cross-domain or cross-enclave interoperability experience
- Zero trust architecture and secure application development
- Certifications in cloud, software architecture, Agile, cybersecurity, or DevSecOps WHY JOIN US - A small, growing team where your work is visible and your input matters
- A wide variety of mission problems, so you keep learning
- Hands-on work with on-prem GenAI, modern data platforms, and full stack development
- Room to lead, mentor, and shape where the program goes next
- Remote/hybrid flexibility, with our team based in Chantilly, VA If you are a builder who enjoys variety and wants to be part of a team that values you as more than a resume, we would love to hear from you.
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