GD Information Technology, Inc.Hiring

Senior Manager, Digital Engineering & Solutions

  • Remote, United States
  • Lead
  • Posted 5 days ago
In one line

Leadership role over data engineering, platforms and automation teams, mixing technical strategy with proposal work; US citizenship and a security clearance are required.

About the role

The job spans hiring, standards and reusable architecture across data platforms, integration, cloud, app development and AI-enabled systems.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Big Data, Cloud Engineering, Azure, AWS, DevSecOps, CI/CD
Posted
30 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Lead engineering practices across data, platforms, automation and application work, and set standards and reusable architecture.
  • Act as technical solution lead on pursuits, turning customer needs into architectures and proposal volumes.
  • Run workforce planning, hiring and mentoring, and keep delivery governance consistent.

What they look for

  • A degree in computer science, engineering, IT or data, or equivalent experience.
  • Five or more years leading technical teams, with ten or more years overall preferred.
  • Knowledge of modern cloud architecture on Azure or AWS, and enterprise-scale design.
  • Experience with proposals or capture work and with growing technical talent.
  • US citizenship and the ability to obtain and hold a Secret or higher clearance.

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Questions about this job

Is this a remote job, and where can I work from?

The posting lists it as remote for people in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: a degree in computer science, engineering, IT or data, or equivalent experience; five or more years leading technical teams, with ten or more years overall preferred; knowledge of modern cloud architecture on Azure or AWS, and enterprise-scale design. Skills it names include Big Data, Cloud Engineering, Azure, AWS.

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