San Antonio, TX

Salary
—
Posted
Aug 13, 2026
Location
San Antonio, TX
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A full-time software engineering role supporting the C3I&N Directorate at Lackland AFB, focused on full life cycle development of DoD software systems. The work spans requirements analysis, system design, coding, and integration with existing infrastructure, with an emphasis on agile acquisition methods and DevOps practices for both cloud and non-cloud environments. Suited to an experienced engineer with a strong DoD background and an active TS/SCI clearance.

Senior level · 12+ years · San Antonio, TX · TS/SCI clearance · Full-time

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Must have (3)
SDLCAgileDevOps
Nice to have (1)
Cloud platforms, AWS, Azure or GCP

“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 (6)

The job title carries no seniority modifier, but the 12+ years of experience requirement (including 5+ years in a DoD environment) supports a Senior classification.

A Bachelor's degree in a related field is listed as a requirement, but the posting explicitly states that additional years of experience may be substituted — treated as no hard degree gate.

The posting references 'a wide array of software languages' and 'software design' without naming any specific language or framework, so no language-specific skills could be extracted.

Cloud platforms are mentioned only in the context of DevOps for 'Cloud and non-cloud applications' with no specific platform named; listed as preferred with common alternatives.

SDLC and Agile are listed as concrete methodological requirements under the qualifications section rather than generic soft skills, so they are retained as required skills despite being methodologies rather than named tools.

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.

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