Principal Full Stack Developer

Full Stack Developer

TS/SCI OR TS/SCI CI Poly to start

Springfield, VA

$220K to $245K | 8% 401K

What You'll Be Owning:

• Lead and participate in the architectural design of complex features early in the development lifecycle.

• Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans.

• Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems.

• Design and implement scalable APIs and services to support machine learning model deployment and inference.

• Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets.

• Collaborate with data scientists and ML engineers to operationalize models within production environments.

• Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable.

• Conduct peer reviews and establish coding standards to improve overall code quality and maintainability.

• Guide development testing, exploratory testing, automated testing, and validation strategies.

• Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts.

• Ensure security, compliance, and governance are maintained throughout the development lifecycle.

• Perform technical planning, system integration, verification and validation, and risk assessments across system components.

• Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams.

• Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team.

What You Must Have:

• Active TS/SCI clearance with the ability to obtain a CI poly

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• 14+ years of professional experience in full stack software development.

• Expert-level proficiency in Python and object-oriented design patterns.

• Extensive experience developing backend systems, APIs, and data processing pipelines.

• Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron.

• Deep understanding of data modeling techniques and experience working with large-scale and time series datasets.

• Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery.

• Experience building and maintaining RESTful APIs and microservices architectures.

• Experience supporting machine learning workflows, including model integration, deployment, and monitoring.

• Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna.

• Strong experience with Python libraries such as NumPy and Pandas.

• Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn.

• Experience with containerization and DevOps practices, including Docker and CI/CD pipelines.

• Experience with web servers such as Apache and Nginx.

• Experience working within Agile development environments and using associated tools.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.

• Experience integrating computer vision or machine learning capabilities into operational systems.

• Knowledge of real-time data processing, streaming architectures, or distributed systems.

• Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform).

• Experience with parallelization and multiprocessing frameworks such as Dask.

• Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy.

• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

• Experience with remote procedure call technologies such as gRPC and JSON-RPC.