Senior Quality Engineer / QE Lead – AI-Led Quality Engineering

Key Responsibilities
Quality Engineering & Test Strategy
• Understand business requirements, existing legacy application behavior, and the target modernized architecture.
• Develop comprehensive test strategies covering functional, integration, API, end-to-end, regression, and data validation.
• Identify critical business journeys and create risk-based testing approaches.
• Ensure functional parity between the legacy and modernized applications.
• Define traceability between business requirements, test scenarios, test cases, automation, and defects.
• Work closely with product owners, business analysts, developers, architects, and DevOps teams.

Functional & End-to-End Testing
• Design and execute functional test scenarios for applications built using Angular and .NET.
• Validate complex end-to-end business workflows across multiple applications and integrations.
• Perform system integration testing across APIs, applications, databases, third-party platforms, and downstream systems.
• Design regression suites based on business criticality and change impact.
• Identify opportunities for automation and continuous regression.
API & Integration Testing
• Perform functional and integration testing of REST APIs and backend services.
• Validate API contracts, request/response structures, business rules, authentication, error handling, and downstream integrations.
• Build automated API validation suites using appropriate tools and frameworks.
• Validate integration flows across AWS services and enterprise systems.
Database Migration & ETL Testing
• Validate migration of data from SQL Server to PostgreSQL.
• Perform source-to-target data reconciliation and transformation validation.
• Validate:
    o Record counts and completeness
    o Data accuracy and integrity
    o Data types and schema mappings
    o Transformation rules
    o Referential integrity
    o Duplicate and missing records
    o Null handling
    o Stored procedures and database logic
    o Historical and incremental data loads
    
• Write complex SQL queries for data validation and reconciliation.
• Identify data anomalies introduced during migration or transformation.
• Develop reusable automated data validation and reconciliation utilities.

AI-Led Quality Engineering
• Use GenAI and AI-enabled QE tools to accelerate:
o Requirement analysis
o Test scenario generation
o Test case creation
o Test data generation
o Change-impact analysis
o Regression optimization
o    Automation development
o    Defect analysis and root cause identification
•    Apply a human-in-the-loop approach to validate AI-generated testing artifacts.
•    Explore opportunities for intelligent test selection and risk-based regression.
•    Contribute to building repeatable AI-led QE patterns and accelerators for the modernization program.

Automation & Continuous Quality
•    Develop and maintain UI and API automation frameworks.
•    Integrate automated tests into CI/CD pipelines.
•    Improve regression coverage and reduce manual testing dependency.
•    Collaborate with development teams to enable quality earlier in the SDLC.
•    Analyze automation failures and continuously improve framework stability.
Required Skills
•    Minimum 7+ years of experience in Software Testing / Quality Engineering.
•    Strong experience in functional, integration, regression, and end-to-end testing.
•    Strong understanding of modern web application architectures.
•    Experience testing applications built using:
o    Angular
o    .NET / .NET Core
o    REST APIs
•    Strong API testing experience using tools such as Postman, REST Assured, Karate, Playwright, or equivalent.
•    Strong SQL skills and experience with relational databases.
•    Hands-on experience in database migration, ETL testing, and source-to-target data validation.
•    Experience working with SQL Server and PostgreSQL.
•    Experience with test automation frameworks such as:
o    Playwright
o    Selenium
o    Cypress
o    Karate
o    Rest Assured
•    Understanding of CI/CD pipelines and continuous testing.
•    Experience working in Agile delivery models.
•    Strong analytical and problem-solving skills.
Preferred Skills
•    Experience testing applications hosted on AWS.
•    Understanding of AWS services such as Lambda, S3, ECS/EKS, RDS, API Gateway, CloudWatch, and related se…