QA Engineer

Our partner helps their clients make smart financial decisions today, so they’re protected in the future. They are rated "A-" (Excellent) by A.M. Best Company and aim to create a working environment that facilitates continuous development for their team of professionals. Community involvement is at the center of their vision – they have a long and rich tradition of corporate community involvement dating back to 1840.

This opportunity is not open to C2C relationships or visa sponsorship.

This opportunity is for local candidates only.

Client is evolving from a traditional Quality Assurance model to a modern Quality Engineering organization. The QA Engineer will play a critical role in driving this transformation by embedding quality practices throughout the Software Development Life Cycle (SDLC) rather than relying solely on end-of-cycle testing. This position is responsible for ensuring quality across client's core business platforms that application development designs, develops and maintains, The ideal candidate combines strong software engineering and testing expertise with modern AI-enabled development practices.

This individual will work closely with developers, architects, business analysts, and product owners to identify defects early, improve code quality, automate testing, and establish engineering-driven quality standards.

This role supports Client’s's strategic initiative to adopt a Shift-Left Quality Engineering model, where testing, validation, and quality controls are integrated into design, development, and deployment activities. The position will serve as a key contributor in advancing AI-assisted quality engineering and modern software delivery practices across the organization.

• Partner with developers, architects, and business analysts during requirements and design phases.
• Review user stories, requirements, and technical designs for quality risks and testability.
• Identify gaps, edge cases, integration risks, and non-functional requirements before development begins.
• Establish quality gates throughout the SDLC.
• Promote quality ownership across the entire development team.

• Utilize AI tools such as Git Hub Copilot, Microsoft Copilot, and other approved AI technologies to generate test cases directly from source code.
• Create unit, integration, regression, and end-to-end test scenarios.
• Identify edge cases and negative test scenarios.
• Analyze code changes and recommend testing scope.
• Perform impact analysis for releases and enhancements.
• Accelerate defect triage and root cause analysis.
• Validate AI-generated test artifacts for accuracy, completeness, security, and business relevance.

• Design and maintain automated testing frameworks.
• Develop automated functional tests.
• Develop automated integration tests.
• Develop automated regression tests.
• Develop automated API tests.
• Develop automated end-to-end business workflow tests.
• Integrate automated testing within CI/CD pipelines.
• Improve automation coverage across all supported applications.
• Reduce manual testing effort through engineering-driven automation strategies.

• Validate REST APIs, web services, microservice integrations, and external interfaces.
• Develop automated API test suites.
• Verify payload structures, data integrity, security, and error handling.
• Test interfaces connecting all the Client’s corporate systems.

• Design and execute performance, load, stress, endurance, and scalability tests.
• Establish performance benchmarks for critical applications.
• Identify bottlenecks across APIs, databases, batch processing, microservices, mobile applications.
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