Principal Full Stack Developer

The Josef Group; Springfield (VA); On-site; USD 220,000 - 245,000; Full time

Benefits offered by this job

8% 401K

Job summary

The Josef Group in Springfield, VA seeks a seasoned Full Stack Developer to lead architectural design and deliver complex features within ML/Ops pipelines and data-driven systems.

You will own backend systems, APIs, and data processing, collaborating with data scientists, while maintaining high security and governance standards. Requires TS/SCI clearance and 14+ years of full stack experience.

Qualifications

• Active TS/SCI clearance with the ability to obtain a CI poly.
• 14+ years of professional experience in full stack software development.
• Expert-level proficiency in Python and object-oriented design patterns.
• Experience building backend systems, APIs, and data processing pipelines.
• Strong experience with modern web frameworks (React.js, Node.js, Electron).
• Knowledge of relational and non-relational databases (PostgreSQL, MongoDB, BigQuery).
• Experience with RESTful APIs, microservices, and ML workflows.
• Familiarity with ML/Ops tools (MLflow, DVC, Optuna).
• Experience with Python data libraries (NumPy, Pandas) and Flask/FastAPI.
• Containerization, Docker, CI/CD; web servers (Apache/Nginx); Agile tools.

Responsibilities

• Lead and participate in architectural design of complex features early in the development lifecycle.
• Translate requirements into technical solutions, tasks, timelines, and resource plans.
• Develop, integrate, and maintain full stack apps for ML/Ops pipelines and data systems.
• Design scalable APIs and services for ML model deployment and inference.
• Develop data pipelines and storage solutions for large-scale datasets.
• Collaborate with data scientists and ML engineers to operationalize models.
• Optimize performance for scalability, reliability, and efficiency in distributed environments.
• Conduct peer reviews and establish coding standards for quality.
• Guide testing strategies, including automated testing and validation.
• Own code in production and lead incident response and root-cause analysis.
• Ensure security, compliance, and governance throughout the lifecycle.
• Mentor junior engineers and promote high-performing teams.
• Drive adoption of ML/Ops tools and automation across the team.

Skills

Python

OOP design

REST APIs

Microservices

React.js

Node.js

Docker

CI/CD

PostgreSQL

MongoDB

BigQuery

Pandas

NumPy

Flask

FastAPI

Gunicorn

Nginx

Agile

Education

Bachelor's degree in CS/Engineering

Tools

MLflow

DVC

Optuna

Kubernetes

Airflow

Geo tools

Job description

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.