Full Stack Software Developer

Ardent Principles, Inc.•Herndon, VA

9d•Onsite

About The Position

We are needing a Full Stack Application Developer to support the development of secure, scalable, cloud‑based applications. This position involves building web applications using the Java Spring framework, developing in Linux with Bash scripting, and creating solutions in the AWS cloud environment. You will work with large raw data sets, build ETL processes, and develop web‑based platforms that enable search, analytics, and data exploration. We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence Ardent Principles offers a competitive salary range and a comprehensive, industry‑leading benefits package designed to support long‑term stability and employee well‑being. We provide more than a position—we offer a workplace committed to excellence, integrity, and mission‑focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients. Join us as we continue building the future of secure, high‑impact solutions.

Requirements

Active TS/SCI with Full Scope Polygraph

Nice To Haves

Deployment of applications in the Amazon Web Services cloud environment
Solr or ElasticSearch
Proficiency in Python software development, especially web service development in Flask or Django
Building web applications using the Angular 2+ framework
Text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization)
Researching and implementing machine learning algorithms for use in production systems
Developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics
Machine learning frameworks such as PyTorch, Keras, Tensorflow
Data visualization tools (i.e. Tableau, Pandas, D3 s, ggplot, etc)
In memory datastores (i.e. ElasticCache, Redis)
NoSQL data stores such as MongoDB or DynamoDB
MySQL or Postgres
Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim
Natural Language Processing
Optical character recognition (OCR) or image detection
Developing solutions using opensource PDF libraries (Java, Python, or Javascript)

Responsibilities

Building web applications in the Java Spring framework
Working in Linux (Bash) shell scripting
Development of applications in the Amazon Web Services cloud environment
Extract, transform, and load (ETL) on large raw data sets
Developing web-based platforms to perform searches or analytics on large data sets
Designing, developing, testing and implementing new applications based on project requirements.