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Systems Architect, SME

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Peraton
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 176000 - 282000 USD Yearly USD 176000.00 282000.00 YEAR
Job Description & How to Apply Below
Systems Architect, SME

Job location:

US

Responsibilities

Peraton is seeking a talented Systems Architect, SME to join our Defense Development Team to lead the development of differentiated, technically credible, and executable solutions for a complex Federal Government program. This role can work remote.

The Systems Architect, SME will serve as a senior technical and strategic advisor working closely with delivery leadership and executive stakeholders to translate requirements into compelling solutions designed to perform against evaluation criteria and deliver measurable customer outcomes.

As part of a collaborative, high-impact integrated product development team, you'll work on next-generation development incorporating AI/ML capabilities hosted on AWS Cloud infrastructure. This is your chance to help shape innovative solutions with the cutting-edge technology that makes a real difference for our customers' missions.

The ideal candidate brings deep experience leading large-scale Federal technology programs, enterprise modernization, cloud solutions, software engineering programs with the executive presence to engage directly with senior government customers and internal leadership. The ideal candidate also provides expertise in Navy weapon systems/platforms.

Key Technologies and

Skills:

  • MOSA & Modern Architecture: software architecture supporting extensibility, open interfaces, and integration across multiple systems.
  • AI/ML Integration: creating force multiplying capabilities applied to the development lifecycle and customer use cases.
  • Cloud‑Native Development: AWS cloud architecture, services, and integration patterns.
  • Modern Service Design: RESTful APIs, event‑driven architectures, microservices, and container orchestration.
  • Automation & Delivery:
    Infrastructure as Code, CI/CD pipelines, automated testing, and distribution.
  • Distributed Systems Engineering:
    Building fault‑tolerant, concurrent, high‑throughput services with modern languages and tools.
  • Security by Design:
    Cloud security principles, compliance frameworks (RMF, FedRAMP), and Zero Trust patterns.
Qualifications

Basic Qualifications:

  • Clearance: active Secret security clearance is required.
  • Education:

    Minimum of 16 years with BS/BA;
    Minimum of 14 years with MS/MA;
    Minimum of 10 years with Ph.D.
  • Ten (10) or more years of directly related experience in software engineering; including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and troubleshooting.
  • At least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts.
  • A minimum of four (4) years of experience developing software with one or more modern programming languages relevant to cloud‑native services (e.g., Python, Go, Java, Type Script).
  • Agile development experience using Scrum or SAFe Agile methodologies.
  • Experience developing modern information management applications with complex workflows, intuitive interfaces, and highly concurrent operation.
  • Proficiency with modern web service patterns (e.g. REST, JSON, HTTPs APIs, OpenAPI/Swagger) and frameworks (e.g. FastAPI, React, Tail Wind).
  • Strong executive presence, written communication, presentation, facilitation, and relationship‑building skills.
  • Demonstrated technical writing skills and shall have generated technical documents in support of a software development project.

Desired

Qualifications:

  • Background working with the US Navy and NAVAIR.
  • Experience building fault‑tolerant distributed systems over unreliable networks.
  • Applied use of Large Language Models (LLM), Agentic AI, and Retrieval‑Augmented Generation (RAG) within customer use cases and solutions.
  • Applied use of AI‑assisted coding…
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