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Tech Lead - Full Stack
IntelliTech
- Alexandria, Virginia, United States
- Alexandria, Virginia, United States
Über
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. 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.
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Sprachkenntnisse
- English
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