You will act as the technical authority for quality engineering, establishing modern automated test frameworks from scratch, overseeing complex data and non-functional testing, and embedding continuous quality gates within modern CI/CD pipelines.

Key Responsibilities

Strategic Leadership & Governance

• Define Strategy: Set the strategic direction for test engineering across product teams, establishing robust, risk-based testing strategies and clear quality metrics.
• Technical Guidance: Provide technical leadership and mentorship to embedded QA engineers, raising team capability and promoting engineering best practices.
• Delivery Oversight: Lead testing activities across parallel workstreams, ensuring quality, time, and cost objectives are met.
• Escalation & Defect Management: Act as the primary technical point of escalation for complex issues, environmental blockers, and risk management (RAID).
• Stakeholder Alignment: Develop tailored test approaches and executive reporting mechanisms to gain alignment with senior business and technical stakeholders.

Quality Engineering & Continuous Improvement

• Framework Architecture: Design, build, and maintain scalable, reusable automation frameworks for UI, API, and backend data flows using modern languages (TypeScript, Python, Java, or C#).
• Data & ETL Testing: Oversee end-to-end data testing strategies across complex, large-scale data environments, validating data transformations, schema integrity, and ETL pipelines (e.g., Informatica, Oracle, SQL).
• Non-Functional Testing (NFT): Embed usability, accessibility (WCAG 2.2 standards), security, stability, and capacity testing early into the development lifecycle.
• Tooling & Infrastructure: Select appropriate test technical tools, define test infrastructure approaches, and optimize execution times to reduce technical debt.
• Standardisation & Collaboration: Drive standardisation by sharing reusable automation libraries across teams, aligning cross-team dependencies, and promoting a culture of experimentation.

Key Competencies & Capability Profile

• Problem Solving & Critical Thinking: Ability to investigate complex process problems, absorb large amounts of conflicting technical information, and formulate actionable recommendations.
• Test Planning & Governance: Expert-level knowledge of system and acceptance test planning, coordinating both functional and non-functional specifications.
• Non-Functional & Risk Management: Skilled in designing and executing non-functional testing techniques, evaluating risk profiles, and prioritizing defects based on severity.
• Delivery Methodologies: Proficient in Agile/Scrum and BDD environments; adept at helping teams visualize outcomes, manage priorities, and deliver against Minimum Viable Products (MVPs).
• Technical Landscape Mastery: Deep understanding of cloud environments (AWS/Azure), containerisation (Docker), microservices architecture, and modern digital technology boundaries.
• Essential & Desirable Criteria

You will act as the technical authority for quality engineering, establishing modern automated test frameworks from scratch, overseeing complex data and non-functional testing, and embedding continuous quality gates within modern CI/CD pipelines.

Key Responsibilities

Strategic Leadership & Governance

• Define Strategy: Set the strategic direction for test engineering across product teams, establishing robust, risk-based testing strategies and clear quality metrics.
• Technical Guidance: Provide technical leadership and mentorship to embedded QA engineers, raising team capability and promoting engineering best practices.
• Delivery Oversight: Lead testing activities across parallel workstreams, ensuring quality, time, and cost objectives are met.
• Escalation & Defect Management: Act as the primary technical point of escalation for complex issues, environmental blockers, and risk management (RAID).
• Stakeholder Alignment: Develop tailored test approaches and executive reporting mechanisms to gain alignment with senior business and technical stakeholders.

Quality Engineering & Continuous Improvement

• Framework Architecture: Design, build, and maintain scalable, reusable automation frameworks for UI, API, and backend data flows using modern languages (TypeScript, Python, Java, or C#).
• Data & ETL Testing: Oversee end-to-end data testing strategies across complex, large-scale data environments, validating data transformations, schema integrity, and ETL pipelines (e.g., Informatica, Oracle, SQL).
• Non-Functional Testing (NFT): Embed usability, accessibility (WCAG 2.2 standards), security, stability, and capacity testing early into the development lifecycle.
• Tooling & Infrastructure: Select appropriate test technical tools, define test infrastructure approaches, and optimize execution times to reduce technical debt.
• Standardisation & Collaboration: Drive standardisation by sharing reusable automation libraries across teams, aligning cross-team dependencies, and promoting a culture of experimentation.

Key Competencies & Capability Profile

• Problem Solving & Critical Thinking: Ability to investigate complex process problems, absorb large amounts of conflicting technical information, and formulate actionable recommendations.
• Test Planning & Governance: Expert-level knowledge of system and acceptance test planning, coordinating both functional and non-functional specifications.
• Non-Functional & Risk Management: Skilled in designing and executing non-functional testing techniques, evaluating risk profiles, and prioritizing defects based on severity.
• Delivery Methodologies: Proficient in Agile/Scrum and BDD environments; adept at helping teams visualize outcomes, manage priorities, and deliver against Minimum Viable Products (MVPs).
• Technical Landscape Mastery: Deep understanding of cloud environments (AWS/Azure), containerisation (Docker), microservices architecture, and modern digital technology boundaries.
• Essential & Desirable Criteria