QA Engineer
$60 - $75 per hourApex Systems
Apex Systems a long with their client is seeking a Sr. QA Engineer. This is a REMOTE contract to hire opportunity. Please see the details below and apply if interested.
Job Title : Sr. QA Engineer
- Develop and implement a comprehensive QA strategy across enterprise applications, cloud platforms, AI solutions, and data products.
- Create detailed test plans, testing methodologies, use cases, and test scenarios for new and existing systems.
- Establish QA best practices and testing standards across the organization.
- Design and build automated testing frameworks to support regression, functional, integration, and end-to-end testing.
- Evaluate and recommend testing tools and automation technologies to modernize current testing processes.
- Partner closely with developers, product owners, business stakeholders, and data teams throughout the software development lifecycle.
- Perform testing from both internal user and external customer perspectives to ensure optimal user experiences.
- Validate data accuracy and integrity across Azure-based data environments and Data Lake solutions.
- Test and validate AI-powered solutions, machine learning models, and AI agents prior to enterprise deployment.
- Create testing strategies for AI-generated outputs, predictive analytics, and business intelligence solutions.
- Support modernization initiatives, including re-architecting legacy applications and implementing new business systems.
- Develop automated regression testing suites to reduce manual testing efforts and improve release quality.
- Identify, document, prioritize, and track defects through resolution.
- Produce QA reporting, test execution results, defect metrics, and quality dashboards for leadership and project teams.
- Collaborate with stakeholders to ensure testing coverage aligns with business requirements and operational needs.
- 5+ years of experience in Quality Assurance, Software Testing, or Test Automation.
- Experience creating comprehensive test plans, test cases, test strategies, and quality reporting.
- Strong hands-on experience with both manual and automated testing methodologies.
- Experience building and maintaining automated testing frameworks.
- Experience performing regression, integration, system, and user acceptance testing.
- Experience testing cloud-based applications and enterprise software solutions.
- Strong understanding of the Software Development Life Cycle (SDLC) and Agile methodologies.
- Experience working with Azure cloud environments.
- Experience validating complex data workflows, data pipelines, or Data Lake environments.
- Ability to analyze requirements and translate them into effective testing strategies.
- Strong communication skills with the ability to collaborate across technical and business teams.
- Experience testing AI, machine learning, generative AI, or intelligent automation solutions.
- Experience using AI tools to develop test cases, testing scenarios, and quality validation processes.
- Experience validating AI model outputs and identifying model accuracy or reliability issues.
- Experience with enterprise data analytics platforms and reporting solutions.
- Experience evaluating and selecting QA tools and automation platforms.
- Experience supporting enterprise application modernization or system re-architecture initiatives.
- Exposure to business systems, marketplace applications, or customer-facing platforms.
- Knowledge of modern test automation tools such as Selenium, Playwright, Cypress, or similar technologies.
- Experience working within data-centric or analytics-driven organizations.
Vacancy posted 3 days ago
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