Software Engineer II Security Clearance

Position: 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/Type Script 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:

Type Script, JavaScript, Python, SQL, Bash
* Backend:
Node.js, NestJS, FastAPI, Flask
* Frontend:
React, Next.js, basic D3.js, Map-based visualization libraries
* APIs: REST, Web Sockets, SSE, event-driven services
* Data & Infrastructure

* Databases:
Postgre

SQL, MySQL, MongoDB
* Data Tools:
Pandas, DuckDB, basic ETL pipelines
* Streaming & Queues:
Redis, Kafka (introductory), pub/sub concepts
* Containers & Dev Ops:
Docker, CI/CD basics, Git Hub Actions
* AI & Intelligent Systems

* Practical use of LLMs , embeddings, and RAG pipelines
* Integration of open-source models (LLaMA-family, CV, Hugging Face)
* 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