⚡ Bolt: [performance improvement] Pre-compile regex patterns in job parser

[anchapin]

💡 What: Pre-compiled frequently used regular expressions as module-level constants in cli/integrations/job_parser.py and updated associated functions to consume these pre-compiled patterns efficiently.
🎯 Why: Functions like _extract_salary_from_text, _extract_items_from_text, and _extract_sections_from_description were creating new regex objects (or performing inline regex string lookups via soup.find) on every call. Pre-compiling them at the module level prevents redundant compilation parsing during parsing, which improves regex efficiency.
📊 Impact: Expected to make job parsing faster and reduce the load overhead of allocating patterns across multiple runs.
🔬 Measurement: Verified via unit test suite, ensuring no functional regressions exist on existing generic, Indeed, or LinkedIn parsing capabilities.

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PR created automatically by Jules for task 11421057472280044196 started by @anchapin

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