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.