
Computer Systems Architect - Mid to Expert Level (Maryland)
National Security Agency/Central Security ServiceNSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. intelligencecareers.gov/job-description/1259764Computer Systems Architects at NSA use commercial and government developed hardware, software, networking, and security products to: - drive information technology projects - produce compliance results for established projectrequirements and IT architecture - modernize IT architecture through analysis of research and introducing changes based on evolving projectrequirements - integrate industry trends, emerging technologies and standards, and new vendor features - collaborate with experts in technical and application teams to identify, evaluate, and recommend technical solutions to support projectrequirements - define and analyze datarequirements, mapping legacy data stores and formats to logical and physical data models - propose standard ways for information transport between IT systems and stored within corporate knowledge databases - perform architectural alignment of the enterprise logical data model and physical data models
Please upload a copy of your transcripts from all schools attended, prior to applying for this position. Unofficial transcripts are fine at this stage. Providing a copy of your transcripts is essential since the minimumqualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.
Opens the company's application page
Listed via
USAJobs
usajobs.gov
Similar roles
Design & Tech
Related reads from TCHNX

The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.

The Quiet Revolution in Edge AI: Why Your Next Computer Might Not Need the Cloud
As neural processing units become standard in consumer devices, we're witnessing a fundamental shift in how AI applications work. Local processing is no longer a fallback; it's becoming the preferred architecture.

The Rise of AI-Assisted Code Generation 2: Are Developers Becoming Prompt Engineers?
As AI coding assistants reshape software development, the industry grapples with a fundamental question: is writing code giving way to writing prompts? We examine how London's tech scene is adapting to this seismic shift.

