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