EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.
Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation).
In August of 2020, BrainTrust joined forces with EverWatch. This integration will enhance the merged company’s set of technical capabilities, mission expertise, and contract presence for intelligence community customers.
BrainTrust employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.
Clearance: The majority of positions require a Top Secret security clearance, based on current background investigation (SBI), as well as the favorable completion of polygraph. Clearance and polygraph processing will be completed by the U.S. Government.
BrainTrust is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age (40 or older), disability, genetic information, citizenship or immigration status, and veteran status or any other factor prohibited by applicable law
PRIMARY RESPONSIBILITIES: Develop and maintain assigned persona analytic tasks requiring implementation, documentation and testing for the Finance Intelligence and High Interest Cargo team to support Suspicious Financial Transactions Development. Analytics will be developed primarily, but not exclusively, in the customer cloud infrastructure. The developer shall possess the necessary skills required to develop and implement an end-to-end solution to detect behaviors of suspicious financial transactions including (but not limited to) accessing existing datasets, creating new datasets by ingesting data, performing analytic functions and exposing analytic results to the users. The data could be metadata or content.
BASIC QUALIFICATIONS/EDUCATION: The candidate must have:
•At least eight (8) years of general experience in software development/engineering, including requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
•At least 5 years of experience in software-intensive projects and programs for government or industry customers.
•At least six (6) years of experience developing software with high level languages (such as Java, C, C++), and at least three (3) years developing software in UNIX/Linux and software integration and testing (to include developing and implementing test plans and scripts).
•At least four (4) years of experience with distributed scalable Big Data Store (NoSQL) such as HBase, CloudBase/Accumulo, Big Table, etc., as well as MapReduce programming model, the Hadoop Distributed File System (HDFS), and technologies such as Hadoop, Pig, Etc.
•Shall have demonstrated work experience with 1) Serialization such as JSON and/or BSON, 2) developing restful services, and 3) using source code management tools
•A bachelor's degree in computer science, engineering, mathematics or a related discipline may be substituted for 4 years of general experience.
•Demonstrated ability to reverse engineer existing manual discovery tradecraft into a set of scientific outcomes
•Understand and utilize Data Science algorithms by applying existing experience or collaboration knowledge from Persona Analysis data science personnel.
•Desire knowledge of Graph Theory to include Social Network Analysis
•Experience developing software in a Linux environment
•Experience with customer GHOSTMACHINE analytic development
•Experience with Jira, Maven and Git
•Familiarity with customer corporate tools such as DX, TargetProfiler, GeoXplorer, LinkXplorer, Renoir, etc.
•Work in a team environment