Sr Quality Engineer / QE Lead AI-Led Quality Engineering

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:
  • Record counts and completeness
  • Data accuracy and integrity
  • Data types and schema mappings
  • Transformation rules
  • Referential integrity
  • Duplicate and missing records
  • Null handling
  • Stored procedures and database logic
  • 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:
  • Requirement analysis
  • Test scenario generation
  • Test case creation
  • Test data generation
  • Change-impact analysis
  • Regression optimization
  • Automation development
  • 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:
  • Angular
  • .NET / .NET Core
  • 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:
  • Playwright
  • Selenium
  • Cypress
  • Karate
  • 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 services.
• Experience in legacy application modernization programs.
• Experience validating application and data parity during platform migration.
• Exposure to GenAI, AI-powered testing tools, or Agentic AI for Quality Engineering.
• Exper…