4312 Software Engineer II with Security Clearance

OVERVIEW: Hands-on Software Engineer II with a strong work ethic and broad technical range across full-stack development, data engineering, AI-enabled systems, networking, and visualization. Experienced in building and operating modern, open source driven applications end to end from backend APIs and data pipelines to front-end dashboards and real-time visualizations. Comfortable working across domains, learning new tools quickly, and contributing wherever needed to deliver reliable, scalable systems. Known as a "get-it-done" engineer who thrives in fast-moving, multidisciplinary environments. REQUIRED QUALIFICATIONS: * 5+ years of experience with a Bachelor's degree in a related technical field * Degree may be supplemented or substituted with additional relevant years of experience * Ability to be sponsored for a security clearance * Core Strengths
* Full-stack development wFith modern JavaScript/TypeScript and Python * Backend APIs, services, and data pipelines * Practical AI/ML integration (not research-heavy) * Real-time and batch data processing * Cloud-native and containerized systems * Strong fundamentals in networking, systems, and debugging * Data visualization and UI-driven insight delivery * Open-source tooling and pragmatic engineering * Technical Skills
* Programming & Frameworks
* Languages: TypeScript, JavaScript, Python, SQL, Bash * Backend: Node.js, NestJS, FastAPI, Flask * Frontend: React, Next.js, basic D3.js, Map-based visualization libraries * APIs: REST, WebSockets, SSE, event-driven services * Data & Infrastructure
* Databases: PostgreSQL, MySQL, MongoDB * Data Tools: Pandas, DuckDB, basic ETL pipelines * Streaming & Queues: Redis, Kafka (introductory), pub/sub concepts * Containers & DevOps: Docker, CI/CD basics, GitHub Actions * AI & Intelligent Systems
* Practical use of LLMs , embeddings, and RAG pipelines * Integration of open-source models (LLaMA-family, CV, HuggingFace) * Experience calling and orchestrating AI services via APIs * Basic model evaluation, prompt design, and cost-aware usage * Cloud & Networking
* Cloud Platforms: AWS / Azure (developer-level) * Networking fundamentals (HTTP, TCP/IP, load balancing concepts) * Metrics and Monitoring * Visualization & Geospatial (Working Knowledge)
* Data dashboards and operational visualizations * Mapping libraries (Mapbox, Leaflet, Cesium - basic usage) * Translating raw data into usable visual insights CLEARANCE: * US Citizenship with eligibility to obtain a Secret clearance