Solutions Architect (TS/SCI, SQL, Kubernetes, Docker)

Beyond Inc.
Reston, VA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Component-Based Software Engineering Computing Platforms Data Architecture JSON Scrum Methodology Service-Oriented Architecture Software Requirements Analysis SQL Databases Web Services Extensible Markup Language (XML)
+5 more
Enterprise Software Applications Kubernetes Docker Legacy Systems Microservices

Job description

As a solutions architect on our team, you’ll translate your customer’s IT needs and future goals into a plan by crafting architecture products, design specifications, proof of concepts, and requirements. Through your leadership, we’ll help transform the way the intelligence community uses technology, including cloud migration, integrating advanced technology, and modernizing Legacy systems. And, what do you do next in a career where you’ve reached this level? You mentor the next set of developers to help them grow into tomorrow’s solutions architects.

Requirements

  • 5+ years of experience as a solutions architect or technical lead
  • 3+ years of experience in an architecture adjacent technical role
  • Experience designing building data models or data architectures
  • Experience with federal IT and security standards
  • Experience managing system requirements
  • Knowledge of data formats or languages that manage data, including SQL, JSON, or XML
  • Knowledge of platform technologies, including Docker, Kubernetes, or IaC
  • HS diploma or GED

Desired Qualifications

  • Experience with decomposing application components and determining how to leverage various technologies found with modern cloud services
  • Experience with service-oriented architecture, web services, and Application Programming Interfaces
  • Experience with taking disparate business problems and delivering the best technology solutions for large scale applications
  • Experience with advanced analytics, data science, including MI, ML, or RPA, integration, microservices, and user experience
  • Experience with applying Agile Methodologies, including Scrum, Kanban, or SAFe

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