Full Stack Engineer - ACTIVE SECURITY CLEARANCE REQUIRED
LLNL · Livermore
$146,340–$185,544from the description
Jul 5, 2026
Livermore
Jul 21, 2026
What this job asks for AI summary
This role centers on building and maintaining an enterprise search platform, covering both frontend and backend work across the full development lifecycle. Day-to-day responsibilities include working with Elasticsearch, Java, Angular, and related technologies to support crawling, indexing, query tuning, and search APIs, as well as maintaining CI/CD pipelines. It suits an experienced full-stack engineer comfortable with relational databases, ML models for text and image analysis, and agile practices — and who holds an active DOE Q-level or Top Secret clearance.
Senior level · San Jose-Sunnyvale-Santa Clara, CA · Top Secret clearance · Full-time
“or” means any one of them counts — you don't need all of them.
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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.
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 (10)
LLNL is located in Livermore, CA, which falls within the San Jose-Sunnyvale-Santa Clara CBSA (41940).
The role is hybrid (not fully remote) — the posting states one or more days per week from home.
The clearance requirement is a DOE Q-level clearance or an active Top Secret clearance from another US agency; Q-level is functionally equivalent to Top Secret and is gated as a hard requirement at time of hire.
The degree requirement states 'Bachelor's degree … or the equivalent combination of education and related experience,' so no formal degree is strictly required.
Elasticsearch, Java, Angular, TypeScript, Node.js, and Python are listed in the main responsibilities section with firm language ('Leverage … in the support of') and are treated as the expected working stack; they are required skills for this role.
SQL (DML/DDL) and ML model experience appear in the primary Qualifications block with 'broad experience' language and are treated as hard gates.
Oracle and MySQL are listed as examples of relational database systems; one skill is emitted with the other as an alternative, reflecting that either satisfies the requirement.
NLP/vector retrieval, cloud SaaS, and Kubernetes appear under the 'Qualifications We Desire' section and are preferred.
'Cloud SaaS' is a broad category rather than a specific named product; it is the closest canonical representation of 'cloud-based SaaS solutions' as stated in the posting.
Requires a Top Secret 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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