Full Stack Developer-Principal

NetSage Corporation; Maryland; On-site; USD 150,000 - 190,000; Full time

Job summary

NetSage Corporation seeks a Principal Full-Stack Developer to design and deliver enterprise solutions at scale. You will collaborate with mission stakeholders to define requirements and architect systems across cloud, data engineering, visualization, and AI/ML domains.

The ideal candidate will have strong Python and Java expertise, experience with APIs, data warehouses, BI tools, and containerization using Docker/Kubernetes, and a track record of operationalizing analytics and ML models.

Qualifications

• TS/SCI with polygraph clearance required.
• Bachelor of Science in Computer Science or related field with extensive relevant experience.
• Strong software development experience with Python and Java.

Responsibilities

• Define requirements with mission stakeholders and architect end-to-end solutions.
• Develop, integrate, and deploy enterprise systems combining cloud, data, visualization, and AI/ML capabilities.
• Build and operate RESTful APIs and data pipelines at scale.

Skills

Python

Java

R

RESTful APIs

AI/ML

Education

B.S. in Computer Science or related field

Ph.D. in CS (optional)

M.S. in CS (optional)

A.S. in CS (optional)

Tools

Tableau

Power BI

Docker

Kubernetes

Jupyter Notebooks

AWS

Job description

At NetSage, we are more than a government contractor - we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.

Job Description

We are seeking a Principal Full-Stack Developer to support an exciting mission focused on revolutionizing tradecraft. In this role, you will work directly with mission stakeholders to define requirements and architect, develop, integrate, and deploy enterprise solutions that bring together cloud infrastructure, data engineering, visualization, software development, and artificial intelligence/ machine learning (AI/ML) capabilities. The ideal candidate for this position will be a senior technical developer with strong Python and Java expertise and broad experience across AWS, enterprise data platforms, application programming interface (API) development, and the operationalization of advanced analytics and AI. Please consider applying if you meet the following qualifications.

Required Qualifications

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of experience.
• Strong software development experience with Python and Java.
• Experience with R for statistical computing, data analysis, or analytical development.
• Experience designing and developing full-stack applications and RESTful APIs.
• Experience with AWS cloud technologies and cloud-native application development.
• Experience designing, developing, or supporting enterprise data warehouses and data engineering solutions.
• Experience developing Business Intelligence capabilities, dashboards, data visualizations, and analytical applications.
• Experience with Tableau and/or Power BI.
• Experience with Docker and Kubernetes for containerization and application orchestration.
• Knowledge of AI/ML development and MLOps practices, including the transition of models and analytical prototypes into operational environments.
• Experience working with Large Language Models (LLMs) and prompt engineering techniques.
• Experience using Jupyter Notebooks for analytical development, prototyping, or data science workflows.