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Application Architect at ManTech VA-Springfield, -VA-Herndon, -VA-Alexandria

Job in Alexandria, Fairfax County, Virginia, 22350, USA
Listing for: Victrays
Full Time position
Listed on 2025-12-15
Job specializations:
  • IT/Tech
    Cloud Computing, Cybersecurity, Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Application Architect at ManTech – USA-VA-Springfield, USA-VA-Herndon, USA-VA-Alexandria

Overview

General information

Requisition # R57053

Locations

Posting Date: 12/17/2024

Security

Clearance Required:

TS/SCI w/ Poly

Remote Type:
Hybrid

Time Type:
Full time

Description

Elevate your career with Man Tech International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, Man Tech has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at Man Tech!

Mantech seeks a motivated, career and customer-oriented Application Architect to join our team in Alexandria, VA. This is a hybrid position with three days onsite and two days telework weekly.

Responsibilities
  • Architect and lead the design and implementation of scalable cloud and on-premises infrastructure for large-scale document and user-friendly case management and records management system, built from commercial and open-source components
  • Guide cross-functional teams to optimize and scale data pipelines for conducting comprehensive analysis, especially of image and video;
    Conduct deep-dive interviews with analysts to evaluate current processes, identify inefficiencies, and create workflow visualizations for automation and streamlining
  • Architect and oversee the integration of advanced capabilities, such as AI/ML in cloud environments, ensuring high performance and reliability
  • Define architectural design decisions affecting selection, design, and instantiation of infrastructure and environment to meet functional and nonfunctional architectural requirements. These environments will typically be cloud-based but may include on-premises. Decisions include evaluating choice of cloud and comparison with on-premises when applicable
  • Collaborate with client representatives to assess and recommend networking and environment configurations to enhance data connectivity and transport;
    Work closely with development and data science teams to ensure infrastructure supports the solution life cycle, including continuous integration and deployment as applicable
  • Lead the standardization and institutionalization of core data and case processing tools and infrastructure, ensuring seamless integration across client workflows
  • Identify and document cloud and legacy system architectural design risks for selected architectural design;
    Facilitate the transition to new technical environments, including cloud and infrastructure, ensuring secure data transfer and tool integration
Minimum Qualifications
  • Bachelor’s degree in computer science, Information Systems, or related field and at least 15 years of experience in software or system architecture and design; a master’s degree can be substituted for 2 years’ experience
  • Proven experience with agile methodologies and technical leadership skills
  • At least 5 years of experience in developing secure cloud solutions across major cloud service providers (IBM, AWS, MS Azure, Oracle and Google);
    Proficiency in architecting and designing cloud environments and infrastructure, including AWS services. Must understand the tradeoffs when choosing services and approaches to system design
  • Strong experience with Infrastructure as Code
  • Familiarity with machine learning and generative AI, object-oriented programming languages, cybersecurity, and relational databases; experience developing and managing AI/ML systems and deploying into production environments;
    Experience with architectures supporting full Software Development Life Cycle (SDLC) and/or Machine Learning Operations (MLOps)
  • Experience with containerization and microservices solutions (e.g., Kubernetes, Open Shift)
  • Knowledge and experience working with federal compliance and guidance, such as FISMA, RMF, Federal Enterprise Architecture Framework, DoDAF, NIST Cybersecurity Framework, NIST 800 series, FedRAMP and cloud-based security controls
Preferred Qualifications
  • Master’s degree in a related field
  • Experience with AWS Direct Connect and other data connectivity solutions
  • Familiarity with advanced…
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