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
The candidate should be able to assume a development role in an organization that has a secure and mature Kubernetes infrastructure built inside AWS. This includes the ability to understand security constraints and details regarding the use of certificates in the environment. Candidate will be required to review and understand systems that are configured using best practices and modified using Python. Usage of micro services in a clustered cloud environment should be understood and the effective candidate should be able to recommend courses of action that improve reliability, security, and maintainability. Familiarity with key parts of Kubernetes deployments is a must as is a clear understanding of current AWS product offerings. Candidate should be proficient using source code control processes and ticketing tools in a technologically diverse and fast-moving environment.
Team supports a set of cloud based analytics; these analytics are built on the corporate infrastructure and incorporates various technologies
• Full-Stack Development
• Experience w/Java
• Experience w/Linux
• Experience with MapReduce and Pig is highly desired
• Cloud development experience such as Hadoop, Big Data (Cloudbase/Accumulo and Big Table) as well as JSON/BSON
• Experience with analytic development
• Experience with Python and streaming capabilities
• Experience with Software Configuration Management Tools such as JIRA, GIT, Confluence and Agile Methodologies
Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
Cloud Experience: Shall have five (5) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.; Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.; Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS); Shall have demonstrated work experience with Serialization such as JSON and/or BSON