QE Consultant

The QE Consultant is accountable for shaping and executing a forward-thinking testing strategy with a strong emphasis on automation and AI-driven solutions. This role translates business requirements into robust, automated test scenarios and scripts, ensuring comprehensive Development Integration Testing (DIT) across a variety of platforms. The incumbent champions the adoption of advanced automation frameworks and AI technologies, maintaining exceptional quality standards throughout the software development lifecycle.
Responsibilities:
Automation-Driven Testing Strategy: Define, document, and continuously enhance the testing strategy with a primary focus on automation and AI integration to maximise efficiency, accuracy, and coverage.
Comprehensive Automated DIT: Ensure thorough Development Integration Testing across platforms by implementing and maintaining advanced automation frameworks and AI-powered testing tools.
Innovation in Automation: Proactively research, evaluate, and integrate emerging automation and AI technologies to strengthen the automation landscape and drive continuous improvement.
Complex Issue Resolution: Utilise automation and AI-based analytics to identify, diagnose, and resolve complex issues encountered during test execution, collaborating with cross-functional teams as needed.
Quality Assurance Leadership: Advocate for automation best practices and AI-driven quality assurance throughout the software development lifecycle, fostering a culture of innovation and excellence.
Risk and Escalation Management: Proactively identify risks and escalate concerns, leveraging AI-driven insights to inform decision-making and stakeholder communication.
Cross-Functional Relationships:
Collaborates with developers, business analysts, and project managers to ensure alignment of testing activities with business and technical requirements.
Works closely with IT infrastructure and operations teams to coordinate integration testing and resolve environment-related issues.
Partners with external vendors and technology partners to evaluate and implement new automation and AI testing tools.
Engages with stakeholders to communicate testing progress, risks, and outcomes.
Job Dimensions:
Provides quality assurance expertise across multiple technology platforms, including WebServices, API, UI, ETL, Mainframe, and databases.
Supports multiple concurrent projects in an agile and waterfall environment.
Influences the adoption and integration of automation and AI testing tools within the team.
Provides advisory support to project teams regarding test automation strategies and best practices.
Requirements:
7+ years of overall experience in Software Testing, including Agile and Waterfall methodologies, QA approaches, and tools.
Experience with tools such as Jira/Confluence, ALM, Parasoft SOAtest (or SOAPUI or Postman), Selenium (or Cypress or Playwright).
Hands-on experience testing Web Services (SOAP/REST), UI, SQL/DB, and ETL.
Relevant experience with Scripting (Java or Python).
Strong expertise in developing automated test scenarios and scripts using leading automation frameworks (e. g., Selenium, data-driven).
Strong analytical, problem-solving, and critical thinking skills.
Excellent communication skills, with the ability to convey detailed information in an impactful manner.
Nice-to-have skills:
AI skills with real-time experience in AI integration for testing and automation.
Knowledge of AML and testing regulatory requirements is a plus.
Up-to-date knowledge of technology advancements and trends in test automation.

Experience
7-11 yrs