Lead QA

Lead end-to-end Quality Engineering activities across Finance applications and enterprise integrations.
Define QA strategy, test architecture, automation strategy, and release quality gates.
Design and execute Functional, Integration, Regression, System, ETL, API, UAT, Performance, and Production Validation testing.
Develop reusable automation frameworks and increase automation coverage across UI, API, and backend validation.
Perform backend validation using SQL Server and BigQuery datasets.
Validate ETL pipelines, cloud data migration, financial reconciliations, and batch processing.
Validate REST APIs, event-driven integrations, Pub/Sub messaging, and microservices.
Perform financial transaction validation, reconciliation, audit trail verification, and accounting rule validation.
Analyze application logs, API logs, SQL logs, and cloud monitoring logs to identify root causes.
Collaborate with Solution Architects, Developers, Product Owners, Business Analysts, Finance SMEs, and Cloud Engineering teams.
Lead defect triage, risk assessments, root cause analysis, and production readiness reviews.
Drive automation, AI adoption, shift-left testing, and continuous quality improvement initiatives.
Mentor QA engineers on automation frameworks, API testing, ETL validation, cloud testing, and engineering best practices.
Preferred Technical Skills
ServiceNow testing
SSIS, Informatica, or Talend ETL tools
BigQuery and cloud-based data warehousing
Kafka or Pub/Sub messaging validation
Performance testing using JMeter
Contract testing using Pact
Docker and Kubernetes fundamentals
Monitoring tools such as Splunk, Dynatrace, or Google Cloud Logging
Experience with enterprise Finance platforms including SAP, Oracle Financials, Workday, and PeopleSoft
Experience with enterprise data migration, cloud modernization, and financial systems integration