Tech Lead - Full Stack

Location: Remote
Clearance: Active DoD Secret clearance required
Employment Type: Full-Time (W-2)
Citizenship: U.S. Citizenship required

Intelli Tech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment.

This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/Dev Sec Ops  functions on a lean team where every engineer is expected to ship high-quality production code.

Technical Leadership

• Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers.
• Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership.
• Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability.
• Serve as a primary technical point of contact for Government engineering and product stakeholders.
• Translate Government requirements and mission context into actionable engineering tasks and solution designs.

Backend Development

• Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration.
• Decouple the Sim Py discrete-event simulation engine from the API tier into independently scalable worker containers.
• Design and implement run request queueing, worker orchestration, and result persistence patterns.
• Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback.
• Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions.
• Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs.
• Implement deterministic scenario comparison logic and brief-ready report generation.

Frontend Development

• Extend and maintain a React / Type Script frontend using Material UI, Recharts, and data-grid-based visualizations.
• Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation.
• Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views.
• Integrate SSO and DoD CAC-compatible authentication flows into the frontend as required by the target environment.

AI Integration

• Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint.
• Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics.
• Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution.
• Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs.
• Ensure audit logging of AI interactions and enforcement of role-based access controls.

Integration and Quality

• Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics.
• Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services.
• Benchmark throughput and performance improvements against established baselines.

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience
  ; or Master’s degree in a related field and 6+ years of relevant experience
  .
• Active DoD Secret clearance.
• 8+ years of professional software engineering experience
  .
• Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and Num Py.
• Strong React / Type Script frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI.
• Experience with containerized architectures
  , including Docker and orchestration concepts such as Kubernetes, ECS, or EKS.
• Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers.
• Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use…