Cloud Software Engineer
The Maven Group, LLC · Raleigh, NC
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Jul 12, 2026
Raleigh, NC
Jul 21, 2026
What this job asks for AI summary
A senior software engineering role focused on designing, developing, and deploying cloud-native applications, including event-driven architecture and secure software built in Python, Java, Go, or Rust. The position also involves UI/UX work and Kubernetes management. It suits an experienced engineer with technical leadership ability and requires active DoD Top Secret clearance with SCI eligibility and U.S. citizenship.
Senior level · 8+ years · Raleigh-Cary, NC · Bachelor's required · TS/SCI clearance · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (9)
U.S. Citizenship is explicitly required; green card holders are stated as ineligible.
An active DoD Top Secret clearance with SCI eligibility is a hard gate per the Requirements section.
The experience threshold is 8+ years with a BS or 6+ years with an MS — the overall years minimum is set to 8 (the lower bound when a BS is the minimum degree).
All technical skills (Python/Java/Go/Rust, cloud-native, event-driven architecture, Kubernetes, Scrum, UI/UX) appear exclusively under the 'Preferred Experience & Skills' heading and are therefore not hard gates.
The four languages (Python, Java, Go, Rust) are listed as interchangeable alternatives within the same preferred requirement; each is emitted separately with the others as alternatives to reflect the posting's 'or' framing.
No compensation was stated in the posting.
The title carries no seniority level word; the title states no level. The 8+ years requirement and technical leadership expectation support a Senior classification.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): cloud-native application development.
Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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