Remote Tech Lead - Full Stack

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

IntelliTech 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/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code.

Key Responsibilities

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 SimPy 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 / TypeScript 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.

Required Qualifications

• 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 NumPy.
• Strong React / TypeScript 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 patterns, and prompt engineering for structured outputs.
• Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS.
• Experience leading technical execution across multiple application layers in a complex engineering environment.
• Experience supporting DoD or federal Government programs.
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders.

Preferred Qualifications

• Experience with SimPy or other discrete-event simulation frameworks.
• Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains.
• Experience leading small engineering teams on Agile Government contracts.
• Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments.
• Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning.
• Experience building decision-support, simulation, or analytics applications for Government analysts.
• Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns.
• Prior experience supporting Army logistics, manufacturing, or modernization programs.

Tech Stack

• Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB)
• Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid
• Database: MongoDB / Amazon DocumentDB
• Cache: Redis / Amazon ElastiCache
• Storage: Amazon S3
• AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval
• Infrastructure: Docker, EKS / ECS, Helm, Terraform
• CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling
• Authentication: CAC / SSO via SAML or OIDC

Interview Process

Video interview required and may include a technical assessment.

Candidates should be prepared to discuss:

• systems or applications they have built from scratch across backend and frontend layers
• their experience leading architecture and technical implementation decisions
• how they have modernized or productionized prototype applications
• their experience with Python, React, containerized deployment, and cloud-native architectures
• their experience integrating AI capabilities into operational applications
• their work with large-scale or mission-critical Government systems

Compensation and Benefits

IntelliTech is committed to fair and equitable compensation practices. The salary range for this position is $150,000 - $200,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, IntelliTech utilizes the full width of the salary range.

IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance.

About IntelliTech

IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions.

Equal Opportunity Employer

At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.