Xenith Solutions

HQ
Reston
41 Total Employees
Year Founded: 2019

Jobs at Xenith Solutions

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5 Hours AgoSaved
In-Office
San Diego, CA, USA
Big Data • Software • App development • Defense • Manufacturing
Responsible for designing, building, and maintaining real-time data ingestion pipelines, ensuring reliable data flow and quality for operational decisions.
5 Hours AgoSaved
In-Office
Colorado Springs, CO, USA
Big Data • Software • App development • Defense • Manufacturing
The Data Manager oversees the full lifecycle of critical data, ensuring high-quality integration and analytics. Responsibilities include data operations, assessment of sources, collaboration with developers, and support for rapid-prototype phases.
6 Days AgoSaved
Remote
DC, USA
Big Data • Software • App development • Defense • Manufacturing
Provide programmatic, analytical, and administrative support to USBP PMOD: analyze program data, develop reports and briefings, track performance and milestones, coordinate stakeholders, recommend process improvements, and support acquisition and engineering lifecycle activities.
8 Days AgoSaved
In-Office
Ashburn, VA, USA
Big Data • Software • App development • Defense • Manufacturing
As a Full Stack Developer, you will design and implement software solutions for various systems, participate in Agile processes, and mentor junior team members.
18 Days AgoSaved
In-Office
Ashburn, VA, USA
Big Data • Software • App development • Defense • Manufacturing
Design, build, test, deploy, and maintain scalable front-end and back-end enterprise applications. Work on Angular/AngularJS UI, Java/Spring Boot services, REST/SOAP APIs, database schemas and queries, AWS integrations, CI/CD pipelines, and application modernization. Participate in Agile ceremonies, troubleshoot issues, and support configuration management and release processes.
24 Days AgoSaved
In-Office
Ashburn, VA, USA
Big Data • Software • App development • Defense • Manufacturing
Develop and maintain GenAI software solutions within Agile teams, prototype AI/ML use cases, integrate applications with AI/ML and Big Data platforms, participate in sprint ceremonies, and design scalable, highly available systems while collaborating with data scientists and stakeholders.