Wipro
TEST ARCHITECT L2
Hyderabad, Telangana, India
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- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 24 Sept 2026
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Job description:
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
Profile description:
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
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