Software Engineer

NetSage’s mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that’s on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

Job Description:

We are seeking a Software Engineer to employ leading edge technologies to develop new ways to represent data using data science methodologies, AI, and ML frameworks. In this role, you will develop analytics pulling data from multiple cyber sources as well as classic SIGINT; develop, test, deploy, and document big data cloud computing workflows; develop answers to questions via Java MapReduce; and research and work with multiple platforms for developments. The team you will be part of works directly with the customer in a highly collaborative, integrated environment. Please consider applying if you have the following required qualifications and experience. 

Required Qualifications:

• TS/SCI with polygraph security clearance.
• Master of Science (M.S.) degree in computer science or a related STEM discipline and three (3) years of relevant experience or, a B.S. degree and five (5) years of experience, or a A.S. degree and seven (7) years, or a high school diploma/ GED and nine (9) years. 
• Strong experience with object-orientated languages like Java, Python, and/or C++. 
• Experience developing software in Linux (Red Hat versions 3 – 5+), software integration, and testing.
• Experience with Pig and Hadoop (MapReduce, Accumulo, and Distributed File System (HDFS)). 

Desired Qualifications:

• Familiarity with customer corporate tools.
• Familiarity with Jupyter Notebooks.
• Knowledge of dataflows within the customer architecture.
• Familiarity with JIRA, Maven, and Gitlab, and/or Jenkins.