- Tech Lead Azure (Frontier/Copilot routing, Azure VM, repo access) Go Lang(AI/LLM layer, rule engine) PostgreSQL on Azure Flink/Kafka for streaming (if any CDC needed)
- Role Overview
- Leads the Extraction Pod responsible foringesting Que's legacy T-SQL codebase, generating rule narratives, andproducing locked specs using Sonata's Frontier RE pipeline.

Responsibilities

- Lead the Extraction Pod: ingestQue SPs, triggers, DDL, views (~50K LOC T-SQL)
- Build and run AST + dependencygraph analysis; identify dynamic SQL, cursors, temp tables for manual review
- Run Frontier RE pipeline (batchextraction of rule narratives with line-level T-SQL traceability)
- Confirm 75-rule inventory outof 541 total; map 7 categories (EDI 37 + Portal 47+ field rules)
- Auto-generate Gherkin scenariosper rule; surface conflicts to Business/Rules Architect
- Coordinate HITL review cycleswith Integra SMEs for spec lock




- Deliver traceability matrix:stored proc spec implementation test (no orphan code paths)
- Produce rule dependency graph,rule cluster map, and BRD/PRD from locked specs

Required Skills & Experience

- 6-10 years in softwareengineering; 2+ years tech lead experience
- Strong T-SQL / SQL Server:stored procedures, triggers, dynamic SQL, dependency analysis
- Python or similar for scriptingstatic analysis / AST tooling
- Experience with large-scalelegacy code reverse-engineering or migration
- Familiarity with LLM-assistedextraction tools (Azure OpenAI, Copilot, or similar)
- Gherkin / BDD specificationauthoring
- Healthcare domain a plus claims, prior auth, DMEPOS rules
- Solid written communication specs and BRDs are primary deliverables

📌 Senior Technical lead (Karnataka)
🏢 Sonata Software
📍 Karnataka