TEST ARCHITECT L2

Quality Engineering Architecture

• Define the overall QE architecture and technical strategy across applications, services, APIs, data platforms, and integrations.
• Establish an enterprise-wide test automation architecture and framework strategy.
• Define automation standards, reusable components, test patterns, and engineering best practices.
• Drive shift-left and continuous testing across the software development lifecycle.
• Integrate quality engineering into CI/CD and DevSecOps pipelines.
• Define quality gates and automated controls for application releases.
• Establish strategies for functional, integration, API, UI, data, regression, and end-to-end testing.
• Architect solutions for performance, scalability, resilience, reliability, and security testing.
• Define approaches for test data management, environment management, service virtualization, and test observability.
• Identify opportunities to leverage AI-assisted testing and intelligent test automation.

PIPL & Privacy-Aware QE

• Provide QE expertise for applications handling personal and sensitive information subject to PIPL.
• Ensure test strategies and automation frameworks incorporate privacy-by-design principles.
• Define compliant approaches for test data generation, masking, anonymization, tokenization, and synthetic data.
• Ensure personal information is appropriately protected across test environments, logs, reports, automation frameworks, and test datasets.
• Partner with privacy, security, architecture, and compliance teams to translate PIPL requirements into testable technical controls.
• Define validation and testing approaches for privacy controls, consent, data access, retention, deletion, and data-transfer scenarios.

PIPL Expertise

• Good working knowledge of China PIPL and its implications for software engineering and testing.
• Experience with privacy-sensitive test data and data protection controls.
• Understanding of data masking, anonymization, pseudonymization, encryption, access controls, and auditability.
• Experience working with privacy/security/compliance teams is preferred.

Location - Hyderabad/Bengaluru

Experience - 10+ years

Quality Engineering Architecture

• Define the overall QE architecture and technical strategy across applications, services, APIs, data platforms, and integrations.
• Establish an enterprise-wide test automation architecture and framework strategy.
• Define automation standards, reusable components, test patterns, and engineering best practices.
• Drive shift-left and continuous testing across the software development lifecycle.
• Integrate quality engineering into CI/CD and DevSecOps pipelines.
• Define quality gates and automated controls for application releases.
• Establish strategies for functional, integration, API, UI, data, regression, and end-to-end testing.
• Architect solutions for performance, scalability, resilience, reliability, and security testing.
• Define approaches for test data management, environment management, service virtualization, and test observability.
• Identify opportunities to leverage AI-assisted testing and intelligent test automation.

PIPL & Privacy-Aware QE

• Provide QE expertise for applications handling personal and sensitive information subject to PIPL.
• Ensure test strategies and automation frameworks incorporate privacy-by-design principles.
• Define compliant approaches for test data generation, masking, anonymization, tokenization, and synthetic data.
• Ensure personal information is appropriately protected across test environments, logs, reports, automation frameworks, and test datasets.
• Partner with privacy, security, architecture, and compliance teams to translate PIPL requirements into testable technical controls.
• Define validation and testing approaches for privacy controls, consent, data access, retention, deletion, and data-transfer scenarios.

PIPL Expertise

• Good working knowledge of China PIPL and its implications for software engineering and testing.
• Experience with privacy-sensitive test data and data protection controls.
• Understanding of data masking, anonymization, pseudonymization, encryption, access controls, and auditability.
• Experience working with privacy/security/compliance teams is preferred.

Location - Hyderabad/Bengaluru

Experience - 10+ years