Senior Software Engineer at Altamira Technologies Corp.
Springfield, VA
$210,000
Jul 23, 2026
Springfield, VA
Jul 25, 2026
What this job asks for AI summary
A senior engineering role focused on building and maintaining two research-and-development efforts: an object management service that applies RDF/OWL and AI to advance object custody and disposition capabilities, and an enterprise-scale repository of certified ontologies. The work spans architecture decisions, requirements analysis, container deployment, and integration of semantic and AI tooling into existing government systems. Suited to experienced engineers with a strong background in ontology engineering, semantic interoperability, and knowledge graph development holding an active TS/SCI clearance.
Senior level · 13+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Bachelor's required · TS/SCI clearance · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 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.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $158,337 (middle half $126,441–$180,105).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The experience threshold is tiered: 13+ years with a Master's degree or 15+ years with a Bachelor's degree. The overall years minimum is set to 13 (the lower bound); the Bachelor's-only path requires 15 years.
Python, Java, and SPARQL are listed together as examples of required programming languages ('such as'). Python is named first; Java and SPARQL are captured as alternatives since the JD treats them as a group. However, given the heavy semantic/ontology focus of the role, SPARQL is also extracted as a standalone required skill.
AI/LLM/RAG integration is listed as a single compound requirement under the 'Strong Knowledge of' section (a required block); LLMs and RAG are extracted as separate named technologies.
Ontology engineering and semantic interoperability are listed under 'Strong Knowledge of'; ontology engineering is captured as a concrete named discipline/technology. Semantic interoperability is a methodology concept and is omitted per guidelines.
The role is onsite 5 days/week at NGA-NCE in Springfield, VA — fully on-site, not remote.
An active TS/SCI clearance is explicitly required as a hard gate.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ontology engineering.
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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