Boolean Search Mastery for Finding Tech Jobs in 2026
Unlocking Search Engines for Job Hunting
Most job seekers use standard search boxes on job boards, which only search databases that have paid syndications. To find unlisted roles, you must query search engine databases directly using Boolean search terms.
Essential Boolean Operators
Here are the fundamental search operators you must master:
- AND: Finds pages containing all search terms (e.g.,
"Python" AND "Django"). - OR: Finds pages containing at least one term (e.g.,
"Vercel" OR "Next.js"). - site: Restricts results to a specific domain (e.g.,
site:jobs.lever.co). - intitle: Looks for specific terms in the page title (e.g.,
intitle:"Career").
Advanced Dorking Formulas
Try copy-pasting this query into Google to find active roles on Lever:
site:jobs.lever.co "Product Manager" "New York" -intern -junior
This tells the search engine to look only on Lever's domain, match the exact phrase "Product Manager", filter for "New York", and exclude junior or intern roles.
How We Automate Boolean Queries
At HiddenJobs, our background indexing system constantly evaluates these dork strings, filters out expired pages, and presents them in an easy-to-use search UI.
Marcus Chen
Verified AuthorLead Systems Engineer & Job Search Architect
Marcus is a veteran systems engineer with a passion for web scraping, database optimization, and search engine mechanics. At HiddenJobs, he designs the Boolean dorking algorithms and scraping engines that interface directly with Greenhouse, Lever, Ashby, and Workday subdomains to locate unlisted tech listings before they syndicate to public boards.
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