Full Stack Developer

What Impact You'll Have:

The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation. Develops rules and methodologies for data collection and analysis.  Develop and maintain a Python-based data warehouse processing system that serves as the backend for a user facing application. Develop and maintain a GUI application using modern REST API and Web frameworks. You will work closely with intelligence analysts, ETL engineers, and customers to incorporate new features and scale the application. Utilize best practices for source control, testing, and deployment of software changes.

Who Will Succeed Here:

• High-speed technologists who enjoy a fast paced and highly rewarding work environment
• Team-players who enjoy collaboration Comfortable collaborating closely with Key Customer Stakeholders, Program Managers, and Product Owners Able to accomplish multiple sophisticated software development tasks with minimal direction
• Life-long learners – You remain engaged with the latest technology trends and understand operational challenges to continually evolve the application delivery process and platform components
• Self-directed and enjoy autonomy to manage your own schedule and workload
• Comfortable working with and recommending various software paradigms and design patterns
• Strong communicators with the ability to explain technical concepts to members across the team
• Able to maintain a high awareness of industry issues and trends

What You'll Be Owning:

• Lead and participate in the architectural design of features early in the development cycle
• Work with Customer Stakeholders, Program Managers, and Product Owners to translate the road map features into management components/tasks, estimate timings, and resources, suggest solutions, and identify possible risk
• Conduct peer reviews to improve code quality
• Help to follow development testing, exploratory testing, AI testing, and/or test automation
• Own your code in production, respond to incidents as they occur, and participate in retros to determine how to be better in the future
• Work towards reducing the total number of defects in the module/product to industry standards by catching and fixing issues early in development
• Resolve all critical and high-priority security defects in-sprint, or by the guidelines set by the SecOps team
• Help build high-performing teams, grow and mentor the technical skills within the team and create development opportunities for them

What You Must Have:

• Active TS/SCI clearance required with the ability to obtain a CI Poly.
• Bachelor's degree in Computer Science, Engineering, or related technical field – Master's degree is a plus!
• 6+ years of experience as a software engineer
• 4+ years of experience developing with Python
• Robust object-oriented design pattern knowledge and implementation experience using Python
• Strong understanding of data modeling techniques
• Experience working with large volumes of time series data and building services, APIs, and applications based of it
• Experience working with relational/non-relational databases and understanding of storage technologies (like Postgresql MongoDB and BigQuery)
• Experience with DevOps tools like Git Experience with Agile development concepts and related tools
• Experience with popular Python modules like Numpy, Pandas Experience with PyTorch by TensorFlow
• Experience with Python web server frameworks like Flask, FastAPI, Pydantic, Gunicorn, Uvicorn
• Experience working with Node.js development with libraries like React.js and/or Electron
• Experience using content servers such Apache and nginx

What Would Be Nice to Have:

• Experience with remote procedural call technologies. Eg. gRPC and JSON RPC.
• Experience in designing multi-tier application architecture and distributed caching solutions
• Experience in Python parallelization/multiprocessing (e.g. Dask) and vectorization
• Knowledge of Geospatial data processing- Libraries include GeoPandas, Folium, Shapely, RasterIO, QGIS and ArcPy
• Knowledge of Python ML stack modules like Scikit-learn, Keras and Tensorflow DevOps experience with Google Cloud Platform, Azure and AWS Able to generate a REST API with a minimal amount of code