Quality Engineer

Employment Requirements

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

This opportunity is for local candidates only. NO OUT OF STATE CANDIDATES WILL BE CONSIDERED - THIS IS A 6 MONTH CONTRACT TO HIRE POSITION

Job Description

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.

Responsibilities

Shift-Left Quality Engineering

• 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.

AI-Assisted Test Engineering

• Utilize AI tools such as GitHub Copilot, Microsoft Copilot, and other approved AI technologies to:

o Generate test cases directly from source code.

o Create unit, integration, regression, and end-to-end test scenarios.

o Identify edge cases and negative test scenarios.

o Analyze code changes and recommend testing scope.

o Perform impact analysis for releases and enhancements.

o Accelerate defect triage and root cause analysis.

• Validate AI-generated test artifacts for accuracy, completeness, security, and business relevance.

Test Automation

• Design and maintain automated testing frameworks.

• Develop automated:

o Functional tests

o Integration tests

o Regression tests

o API tests

o 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.

API and Integration Testing

• 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.

Performance and Load Testing

• Design and execute performance, load, stress, endurance, and scalability tests.

• Establish performance benchmarks for critical applications.

• Identify bottlenecks across:

o APIs

o Databases

o Batch processing

o Microservices

o Mobile applications

• Partner with development teams to optimize application performance and reliability.

Code Quality Engineering

• Review source code from a quality and testability perspective.

• Collaborate with development teams to improve:

o Unit testing coverage

o Code quality

o Security practices

o Observability

o Maintainability

• Support static analysis, code review processes, and test-driven development practices.

• Help establish engineering standards and best practices.

Release and Production Readiness

• Participate in deployment validation and release readiness activities.

• Execute smoke tests and production verification testing.

• Validate business-critical workflows following deployments.

• Support root cause analysis of production incidents.

• Develop preventative testing strategies for recurring issues.

Qualifications

• Bachelor\'s degree in Computer Science, Information Technology, Software Engineering, or related discipline.

• Equivalent experience will be considered.

• 5+ years of experience in Quality Engineering, Software Engineering, Test Automation, or related technical roles.

• Experience testing enterprise applications and distributed systems.

• Experience supporting Agile software delivery teams.

• Experience working within CI/CD environments.

• Experience with test automation frameworks such as Playwright, Selenium, Cypress, JUnit, TestNG, or equivalent technologies.

• Experience with API testing and automation tools such as Postman, Swagger/OpenAPI, REST Assured, or SoapUI.

• Experience with test management platforms such as Jira, Xray, Zephyr, TestRail, or Azure DevOps.

• Experience integrating automated testing into CI/CD platforms such as GitHub Actions, Jenkins, Azure DevOps Pipelines, or Bitbucket Pipelines.

• Experience using application monitoring and observability platforms such as Splunk, Dynatrace, AppDynamics, ELK, or equivalent technologies.

• Experience with performance and load testing tools such as JMeter, k6, Gatling, or LoadRunner.

• Experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, or other approved AI technologies.

• Working knowledge of programming languages such as Java, C#, JavaScript, or TypeScript.

Preferred Qualifications

• Experience with life insurance and annuity business processes, including sales, new business, underwriting, policy administration, claims, billing, commissions, or related functions.

• Experience supporting enterprise application enhancements, system integrations, reporting solutions, data conversions, or vendor-delivered platforms.

• Familiarity with requirements and work-management tools used to manage user stories, acceptance criteria, defects, and delivery documentation.

• Familiarity with AI-assisted development and productivity tools, prompt-design techniques, retrieval-grounded research, or low-code automation platforms.

Core Competencies

• Automation-First Thinking – Drives scalable test automation to accelerate delivery, improve quality, reduce operational risk, and increase release confidence across core platforms.

• AI First Approach - Uses approved AI tools to accelerate quality engineering, improve test coverage, increase productivity, and identify risks earlier in the SDLC.

• Communication – Communicates effectively with both technical and non-technical audience to clearly articulate quality risks, testing strategies, performance concerns and recommendation.

• Collaboration – Builds alignment across cross-functional teams to ensure quality expectations are achieved.

• Adaptability – Manages changing priorities and requirements while maintaining clarity, control, and delivery focus.

Additional Information

Hybrid 2 days per week in office in Scottsdale. This is a 6 MONTH CONTRACT TO HIRE POSITION.

NO OUT OF STATE CANDIDATES WILL BE CONSIDERED

*Solü Technology Partners provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability or genetics.