Senior QA Consultant (SAP/Zuora/Finance systems)

About Us

Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response.

Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats.

Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at www.sophos.com.

What you will do

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Lead end-to-end QA activities across complex Back Office systems, workflows, integrations, and enterprise business processes.

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Develop and execute effective test strategies, test plans, and validation approaches aligned with business and technical objectives .

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Ensure release readiness, production stability, and high-quality delivery outcomes across multiple initiatives.

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Manage competing priorities between BAU support and project deliverables while maintaining QA standards.

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Apply risk-based testing methodologies to prioritize testing efforts effectively.

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Identify quality risks, dependencies, gaps, and release concerns early, and provide actionable mitigation plans.

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Take initiative during critical delivery situations such as unclear requirements, testing blockers, integration issues, or release instability.

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Partner closely with business stakeholders to align on quality expectations and release readiness.

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Act as a trusted QA advisor, communicating risks, progress, and recommendations clearly.

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Influence decisions through expertise , data-driven insights, and effective communication.

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Demonstrate strong individual contributor leadership through accountability, professionalism, and ownership.

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Mentor and support QA engineers through coaching, reviews, collaboration, and knowledge sharing.

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Promote a culture of continuous learning, operational excellence, and quality-first thinking.

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Drive the adoption of AI-powered QA solutions and intelligent automation practices across testing processes.

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Champion automation-first and AI-assisted testing approaches to improve efficiency, scalability, and coverage.

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Identify opportunities to reduce manual effort and optimize QA processes through automation and innovation.

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Contribute to the enhancement of QA frameworks, standards, tools, and delivery practices.

• Collaborate with engineering and technology teams to integrate automation and AI capabilities into CI/CD pipelines and QA workflows.
• Evaluate emerging technologies, automation platforms, and AI-driven testing tools to improve quality engineering practices.

• What you will bring
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• 8 + years e xtensive Quality Assurance experience.
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• Strong practical knowledge of risk-based testing methodologies.
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• Strong analytical, critical thinking, and problem-solving capabilities.
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• Excellent verbal and written communication skills with the ability to influence stakeholders across multiple levels.
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• Hands-on experience in QA automation and independent test strategy implementation.
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• Familiarity with modern QA tools, defect tracking systems, and test management platforms.
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• Understanding of Agile methodologies, CI/CD pipelines, and software development lifecycle (SDLC) practices.
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• Exposure to AI-assisted QA tools, intelligent automation, or machine learning-enabled testing solutions is highly desirable.
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• Proven experience supporting finance systems, including SAP, Zuora, and OneSource applications.
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• Expertise in designing and implementing test automation solutions using Worksoft .
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• Good foundation for mentoring or guiding QA team members in technical delivery and best practices.
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• Provide mentorship and guidance to QA engineers through coaching and knowledge sharing .
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• Promote a culture of quality-first thinking, continuous learning, and operational excellence .
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• Lead by example as a high-impact individual contributor .

Desirable

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• Exposure to platforms such as SAP S/4HANA, Salesforce, and AI-driven tools .
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• Experience in QA transformation, process optimization, or operational improvement initiatives .
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• Knowledge of scripting, automation frameworks, and modern testing technologies .

• Experience in AI-driven testing or intelligent process automation implementations .