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Chief Engineer

Remote / Online - Candidates ideally in
Virginia, 24539, USA
Listing for: Crintell Technologies LLC
Full Time, Remote/Work from Home position
Listed on 2026-11-06
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Hybrid role for Chief Engineer
Our client is looking for a Chief Engineer. If you are interested, Please help me with your expected salary range.

Location:

Arlington, VA Clearance:
Active Secret Clearance Job Classification:
Full Time

REQUIRED EXPERIENCE:

10+ years of professional software engineering experience, including 3+ years in an architect or technical-authority role on enterprise applications.

Proven experience designing, evaluating, and evolving complex modular or multi-component software systems, including ownership of non-functional requirements.

Demonstrated experience acting as a technical gatekeeper or quality authority, such as architecture review or technical sign-off before work enters a delivery pipeline.

Experience managing or directing Dev Sec Ops  and/or QA engineering functions.

Strong command of engineering best practices, performance considerations, and secure application design.

Strong proficiency in modern .NET / .NET Core for backend and API architecture.

Strong proficiency in Angular for enterprise front-end architecture and design patterns.

Demonstrated ability to assess existing systems, identify technical risk, and recommend practical improvement paths.

DESIRED

EXPERIENCE:

Experience designing systems for RMF / ATO readiness in DoD or other regulated environments.

Familiarity with DoD cyber workforce qualification frameworks, including DoD 8140 and legacy 8570.Familiarity with CMMC Level 2 / NIST 800-171 control requirements as applied to engineering and infrastructure environments.

Experience partnering with security, Dev Sec Ops , and compliance stakeholders to support authorization and production readiness.

Familiarity with Azure deployment environments, including AKS (Azure GCC High experience a plus).Familiarity with integrating ML/AI components into enterprise .NET applications.
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