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[Computer Engineer] R&D Computer Science (Mid-Career)

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The Geophysical Monitoring System (GMS) project is a large-scale development effort to re-engineer the primary system used by the US National Data Center (US NDC) for the Air Force Technical Applications Center (AFTAC). The successful candidate will work from developed requirements, specifications, and architectural design for the new system. We are seeking an outstanding R&D Computer Science professional who wants to be part of the vibrant team that is developing the next generation system in a collaborative, Agile environment. As a member of our team, the selected applicant will enjoy innovating and collaborating in an engaging learning environment to architect, design, develop, test, and deploy advanced software for complex, real-time decision support systems. This position may require occasional travel.

On any given day, the selected candidate may be called on to:

Work on agile development teams
Collaborate with other development teams regarding integration with the larger system
Implement algorithms or processing to add new system capabilities
Design database elements/APIís
Qualifications We Require

BS and MS in Computer Science, Computer Engineering, or Software Engineering; OR BS as stated + 4 years related experience
2 or more yearsí experience working on large system, in addition to the education requirements above
Java development in a service-oriented framework
Software development skills in a Linux based environment
Kubernetes & Docker experience
Gitlab & Gradle experience
Can obtain a DOE Q clearance

Qualifications We Desire

Strong interest in an architecture role focused on:
Specifying high-level designs for System features, software frameworks & infrastructure, deployment platform, development tooling, etc.
Providing ongoing guidance to development teams
Working closely with development teams to iterate on software designs
Significant experience as a software developer
Technical leadership experience, as a lead developer, technical team lead, architect etc.
Experience with distributed system design
Proven experience modeling in UML
Familiarity with service-based architectures (e.g. SOA, microservices)
Familiarity with inter-process communication patterns, techniques and technologies
Familiarity with data storage architectures (relational, non-relational - e.g. document, wide-column)
Familiarity with fault tolerance concepts and techniques
Familiarity with system scaling concepts and techniques
Experience with large-scale system design
Strong teaming skills


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