APEX bridges the gap between sensor and analyst in the evolving field of intelligence analysis. APEX tightly couples analysts, operators, and engineers to produce an unmatched level of problem-solving capacity for any situation.
Spanning various disciplines, including geospatial intelligence (GEOINT), signals intelligence (SIGINT), and human intelligence (HUMINT) analysis, APEX analysts, operators, and engineers work with operational mission partners to deliver novel technology, tactics, techniques, and procedures (T3P), relevant and modern training, and innovative technology solutions.
If you are a motivated individual willing to tackle challenging, and interesting problems, come be a part of our dynamic team!
Apex Expert Solutions is seeking a highly motivated, self-directed professional to fill the role of Senior Full Stack Developer. This position is based remotely.
Duties and Responsibilities:
The candidate will be part of two very dynamic and forward leaning teams. The Raptor team is creating cutting edge solutions for warfighters in the area of geo-visualization and sensor integration. And the Atlas team is building a high performance computing enabled data management and analysis platform.
On the Raptor team the candidate will be primarily tasked to assist the Keymaker team in making improvements and fixes to the Raptor plugins and core code. Raptor is written in Java and RaptorWeb is in AngularJS, it is expected that this position will require proficiency in both. They will participate in team meetings and sprint planning, facilitate QA and testing where needed and be involved in architectural and design events. Work will be performed using IntelliJ, JIRA, Confluence and Git(Fisheye+Crucible+Bitbucket).
As part of the ATLAS R&D effort the candidate will help conceptualize and implement user interfaces related to prototypes the team creates. The tooling and implementation approach will align with what the ATLAS product team uses where possible. Tasks will involve creating novel approaches to visualization of numerous data types such as geospatial, temporal, textual, etc. The ideal candidate will enjoy learning new concepts as well as applying previously honed skillsets.